autonomousvehicle.dev

#Autonomous Vehicle | Development

#ChcNav | Object Analysis | Object Detection | Autonomous Vehicle

#Titra | Alpin unmanned helicopter | In regional priority investment list of Ankara | Military, civilian and rescue missions | Design based on the manned Italian Heli-Sport CH 7 ultralight chopper | UAVOS | Length 7 m | Width 1.5 m | Height 2.35 m | Rotor diameter 6.28 m | Empty weight 340 kg | Can be easily transported in a vehicle | Maximum payload of 200 kg including fuel | Wideband satellite communication channel | Fully redundant autopilot system aboard | Fully autonomous take off and landing system | Remote ground control network capability | Autorotation landing capability | High efficiency flight control | Hyper spectral, synthetic aperture radar (SAR) | Electro optical/infrared (EO/IR) cameras | Rotax 914 UL engine | 115 hp | Maximum cruise speed 160 km/h | Maximum range of 840 km | Altitudes of up to 5,000 m | Maximum endurance seven hours | Two hours flight time fully loaded

#CNH Industrial (NYSE: CNH) | AgTech equipment, technology and services company | Case IH | New Holland | STEYR (agricultural tractors) | Raven (digital agriculture, precision technology and the development of autonomous system) | Hemisphere (designer and manufacturer of high-precision satellite-based positioning, and heading technologies) | Flexi-Coil (tillage and seeding systems) | Miller (manufacturing application equipment) | Eurocomach (producing a wide range of mini and midi excavators for construction sector, including electric solutions)

#IHI Corporation | Autonomous fleet | Heavy industry manufacturer | Container and haulage trucks

#PixMoving | Robots and smart vehicles for urban services

#Meltio3d | Metal 3D printing

#MarkForged | Precision machines

#Swaayatt Robots | Autonomous driving

#Perrone Robotics | Robotic platforms for research

#Aalto University | Bio inspired robotics

#Nuro | Autonomous delivery vehicles

#Torc Robotics | Autonomous vehicles

#Trimble | Map based localisation system couples an inertial navigation system (INS) with simultaneous localisation and mapping based (SLAM) capabilities

#BMW | Self driving cars

#Hygear | Hydrogen refuelling station

#University of Cambridge | Supply Chain Sustainability

#H3Dynamics | Hydrogen electric flight configuration | Distributed hydrogen electric propulsion pods | Hydrogen ready airport hubs | Fully autonomous charging station for battery drones

#Spectronik | Hydrogen PEM fuel cells

#Hydrogen Central | Hydrogen market intelligence

#NVIDIA | Open reasoning VLA model designed to tackle long-tail autonomous driving challenges | Alpamayo 1, AlpaSim and Physical AI Open Datasets enable the development of vehicles that perceive, reason and act with humanlike judgment | Alpamayo family introduces chain-of-thought, reasoning-based vision language action (VLA) models | Systems can think through novel or rare scenarios step by step, improving driving capability and explainability | Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision | AlpaSim: a fully open‑source, end-to-end simulation framework for high‑fidelity AV development, available on GitHub | Physical AI Open Datasets

#Neste | Sustainable lubricants

#MIT | White graphene nanotubes | Stronger, heat resistant composites | Membranes for renewable energy | Hollow aligned fibers, or nanotubes, made from hexagonal boron nitride | Hexagonal boron nitride ( hBN) | Fabricating aligned boron nitride nanotubes in bulk | hBN is transparent and electrically insulating | hBN to electrically insulate sensors within electronic devices | Blue energy, electricity produced from the ionic filtering of salt water into fresh water | Nanotube engineering | Hypersonic and space applications

#DTN | Autonomous Underwater Vehicles

#CMU | Carnegie Mellon University | Robotics

#Bain | Management consulting

#Apta | Autonomous and Electric Vehicles Association

#WolfSpeed | Silicon Carbide and GaN semiconductors

#Smart Nation Signapore | Smart City

#Geely | Automobile manufacturer

#Virtusa | Deep digital engineering

#WITTENSTEIN | Mechatronic drive system |Servo drive system | Automated Guided Vehicles | Warehouse logistics | Encoder for speed control | Vehicle manufacturers can create motion tasks easily | Movements can be started simultaneously via a synchronization signal from the control system

#Intel | OffRoad Autonomous Vehicle Simulation

#Mercedes Benz | Drive Pilot System

#Computer Vision Center Barcelona Spain

#NATO | Innovation Fund | Defence Innovation Accelerator for the North Atlantic (DIANA) | Dual use emerging technologies of priority to NATO | Artificial intelligence | Quantum enabled technologies | Autonomy | Biotechnology |Novel materials | Energy | Propulsion | Space

#Renu Robotics | Solar and energy facility vegetation management

#European Centre For Space Applications And Telecommunications

#Navya | Design and construction of autonomous and electric vehicles

#Aviva | Insurance

#Volodrone | Saudia | Autonomous VoloDrone cargo carrying vehicle

#Carbon Robotics | Autonomous LaserWeeder Robot | Deep Learning | Laser | Lidar Sensor | Nvidia | Cumming

#Fireflies | Insect scale robots emitting light when flying enabling motion tracking and communication | MIT

#Denso | Chips for autonomous driving systems

#Dronamics | Cargo drones | Ability to land on short runways | Short airstrip closer to the final recipient | Standard piston engine | 20,000ft altitude,below the mass of passenger air traffic | 350kg (770lb) cargo load | German logistics giant Hellmann | Connecting Greek islands by cargo drone | Drones more frequent than ferries | Ability to break down deliveries into several packages | Increasing the frequency of deliveries | Offering speed and flexibility

#Waymo | Google self driving car | California Public Utilities Commission (CPUC) allowance to charge for all rides, expand hourly operations and service area, and add unlimited robotaxis to company fleet | AVs allow greater independence for those with disabilities by allowing them to hail a car on their own, particularly for those whose disabilities make it difficult for them to interact with driver | AVs never get tired, distracted, drive impaired, or angry

#Fortum | Lithium Ion Battery Recycling Technology | Recovering lithium, cobalt, manganese and nickel from batteries for reuse in the production of new ones | Hydrometallurgical recycling process | 80% of a battery recycled | 95% of the valuable metals from the battery black mass recovered | Meeting the rising demand for recycled battery materials | Enabling the sustainable recovery of lithium, nickel, cobalt, and manganese | Recycling materials essential in the manufacturing of new EV batteries

#OUSTER | High Resolution Digital Lidar Sensor

#Elroy Air | Cargo drone | Hybrid electric engine | Small turbine generating electrical power and runnung off aviation fuel | Refueling at existing facilities rather than relying on docking stations for electricity | Bristow | Offshore oil industry to shift equipment

#Transferring Skills To Real Robot

#Autonomous System Virtual Testing

#Technologies For Autonomous Operation Elements

#Developing Advanced Assistance Functions

#Autonomous Operation Of Road Construction Equipment

#Autonomous Crane | Groomer

#SatelIoT | IoT connectivity over standard 5G NB-IoT

#Autodesk 3ds Max | Autodesk

#Fortum | Renewing the value chain for electric vehicle and industrial use batteries | Recycling and second life solutions for Lithium Ion batteries

#Universal Scene Description | USD | Metaverse | Digital Twins | Simulating scenes, roads and factories | Autonomous Vehicles | Robots | Large virtual worlds | Pixar | Adobe | Ubisoft | Nvidia

#Catepillar | Cat Command for Excavating | Remote control system | Cat Command station | Non line of sight remote control | Improving machine productivity | Fast restart of operations | Virtual cab with familiar controls and machine displays | Up to five different machines controlled by one user | Access to machine setting just like in the machine | Solution to workforce shortages | Training advantages for newer operators | Opportunities to those with physical limitations | Attracts a new generation of workers | Increases the longevity of experienced operators

#Air Car | eVTOL | Autonomous Electric Aircraft

#Synthetic data generation | Computer simulation | Algorithm | Statistical modeling | Autonomous vehicles | Information injected into AI models | Creating digital twins | Testing AI systems for bias | Simulating the future, alternate futures or the metaverse | Datagen | MostlyAI | Synthesis AI

#Vella Development Kit | Velodyne Lidar | High level perception outputs for indoor environments | 3D object list | Free space and obstacle detection | 3D occupancy grid | Lidar odometry | Extrinsic calibration | Automated ground vehicles | Surround Lidar Sensors

#Ambri | Batteries for clean energy | Liquid Metal Battery | Self heating and regulating | Calcium and antimony as material | Rapid deployment | Scalable | Internal operating temperature 500˚ C | Desert | Arctic | Antarctic | Third Pole | Shipped cells inactive at ambient temperature | Heaters bringing cells to operating temperature | No degradation, air conditioning, replaceable nor any serviceable components | MIT | GroupSadoway Lab | Boston Metal

#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems

#Ouster | High-resolution lidar sensors for long, mid, and short range applications | Smart infrastructure | Autonomous machines | Robotics applications | Digital lidar architecture | Digital device powered by a fully custom silicon CMOS chip

#California Privacy Protection Agency | Proposition 24 | Personal car data | Information is collected while you are driving | Targeted advertising | Geolocation | In car advertising | Discrimination | Identity theft | Automakers | Insurance companies | National Safety Council

#JAKA Robotics | Graphic Programming | Set and adjust positions and tasks with ease | Drag Teaching | Moving the cobot to any position, and it will memorize it instantly | JAKA APP | Teaching the robot | Remote Monitoring | Monitor robot tasks and set alerts

#Structural color | Chameleon like, color shifting materials | Stretching a piece of film to reveal a hidden message | Checking an arm band color to gauge muscle mass | Sporting a swimsuit that changes hue as one does laps | Elastic materials that when stretched can transform their color | Printed films revealing the imprint of objects | Structural color arising as a consequence of a material microscopic structure | Robotic skin that has a human like sense of touch | Devices for things like virtual augmented reality or medical training | University of Cambridge | The Gillian Reny Stepping Strong Center for Trauma Innovation at the Brigham | Women Hospital | National Science Foundation | MIT Deshpande Center for Technological Innovation | Samsung | MIT ME MathWorks seed fund | MIT

#MassRobotics | Ori | Ikea | Boston Seaport District | Amazon | Google | Mitsubishi Electric | Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT | Cybernetix Ventures

#VARTA | Application Specific Batteries (ASB) | Energy Solutions

#GAM | Precision mechanical manufacturer of drive solutions used in automation technology | Engineering solutions for demanding environments | Robotic gearboxes | Servo-gearboxes | Precision spiral bevel gearboxes | Rack and pinion | Servo-couplings | GPL Robotic Planetary | GCL Cycloidal | GSL Strain Wave | Linear Mount Products for Cartesian Robots | Backlash <0.1 arcmin (6 arcsec) of gearbox, no adjustment necessary | Operation temperatures -40°C to 70°C (-40°F to 160°F) | 20,000 hours operational life | Torque 3500 Nm (31,000 in-lb)

#Blue Robotics | Automated Guided Vehicle

#Carling Technologies | electronic switching | electromechanical controls | electromechanical switches

#Boston Dynamics AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design

#Obayashi | Denso | Road pavement designed to power electric vehicles while they drive

#Harmonic Drive | Precision servo actuators | Gearheads | Gear component sets

#Robotics Engineering | Intelligent Sensing for Object Recognition, Manipulation and Control | Design, Development and Simulation Tools for Robotics Development | Developing Intelligent Robots - Machine Learning on Edge, Cloud and Hybrid Architectures | Advanced Motion Control Solutions for Robotics Systems | Intelligent Vision and Sensing Solutions for Autonomous Mapping and Navigation | Motion Control for Healthcare Robotics Applications: Functional Requirements, Critical Capabilities

#NVIDIA | Generalist Humanoid Capabilities Building | Cognition and loco-manipulation | Requires workflow unifying simulation, control, and learning for robots to acquire complex skills | Sim-to-real workflow combining whole-body reinforcement learning (RL) | Synthetic data–trained navigation | Vision-based localization | Simultaneous localization and mapping (SLAM) | Enabling loco-manipulation, robust navigation, and environment-aware behavior across diverse robot embodiments | GR00T N1.6: multimodal vision-language-action (VLA) model integrating visual observations from egocentric camera streams, robot states, and natural language instructions into a unified policy representation | Model uses NVIDIA Cosmos Reason, to decompose high-level instructions into stepwise action plans grounded in scene understanding to perform real-world tasks | GR00T executes locomotion and dexterous manipulation through end-to-end learned representations | Cosmos-Reason-2B VLM with native resolution support | Better scene understanding | More reliable task decomposition | 2x larger diffusion transformer (32 layers) and state-relative action predictions | Trained on thousands of hours of new and diverse teleoperation data (humanoids, mobile manipulators, bimanual arms), enabling better generalization across various robot embodiments | Pretrained weights for zero-shot evaluation and validation of basic manipulation primitives | Whole-body RL training | Policies are trained and stress-tested at scale in Isaac Lab and Isaac Sim, then transferred zero-shot to physical humanoids | GR00T high-level VLA can assume reliable whole-body control, to focus its reasoning on task sequencing and scene-aware decision-making rather than raw motor stability | cuVSLAM: real-time visual-inertial SLAM and odometry library | cuVGL: visual global localization library | FoundationStereo: foundation model for stereo depth estimation | nvblox: 3D perception library reconstructing environment and generating 2D occupancy map for path planning | Offline map creation workflow in Isaac ROS to create maps from a ROS bag | Developer can create a localization pipeline in ROS2 using a stereo camera driver, image rectification nodes, an occupancy map server, cuVSLAM and cuVGL nodes | Open Isaac GR00T N1.6 model downloadable from HuggingFace

#ROS | Robot Operating System | Open source software development kit for robotics applications | Standard software platform to robotic application developers | Research | Prototyping | Deployment | Production

#Intel | Kapoho Point Board | Four Loihi 2 chips on its top side | Four on its underside | Up to a million neurons | Up to a billion synapses | Up to 8 million variables | Up to 1000× better energy efficiency than a state of the art CPU solver | Stackable up to eight boards | Expansion port on the board | Four boards getting up to 32 million neurons | Drones | Robotics | Gesture recognition | Scene understanding | Smell identification | Solving optimization problems | Research

#Cyngn | Autonomous driving software solutions

#Intel | Neuromorphic computing | Biological neural computation | New algorithmic approaches | Emulating human brain interactions | Spiking neural networks (SNNs) | Simulating natural learning | Dynamically remapping neural networks | Making decisions in response to learned patterns over time | Powering autonomous AI solutions | Supporting energy efficiency and continuous learning | Sensing | Robotics | Healthcare | Large scale AI applications

#SpaceX | Satellite to cellular service

#Elroy Air | Autonomous cargo aircraft systems| Vertical take off and landing (VTOL) cargo aircraft | Specially designed aerodynamic modular cargo pods | Commercial logistics | Disaster relief | Firefighting | Humanitarian operations | Replacing difficult ground transportation | Detachable pod | Dropping off cargo | Pickkung up ready to go cargo | Makint deliveries fast | Allowing ground crew to empty or load a pod at their leisure

#Axalta Coating Systems | Innovative, colorful, beautiful, and sustainable coatings solutions | Flame Spray on site | Electrocoat for electric vehicle (EV)

#Neste | Neste MY Renewable Diesel | Fully compatible with all diesel engines and the existing fuel distribution infrastructure

#Latitude AI | Ford | Automated driving

#Zeal Motor | FatTruck | Truck 8X8 | Amphibious vehicle | Transporting heavier payload or additional crew in the harshest terrains | Water | Climbing steep muddy hills

#Honda | Autonomous Work (AWV) Vehicle | Supporting construction related activities | Solar construction site | GPS for location | Radar and lidar for obstacle detection | Cameras for remote monitoring

#Bobcat | RogueX | Eliminating operator station | Building loader without a cab | Lithium ion battery | Electric drive system | No hydraulics

#JCB | Hydrogen combustion engine | Construction equipment | Backhoe loader | Loadall telescopic handler | Mercedes tonne truck retrofit | Mobile refuelling bowser | JCB Fastrac tractor | Got rid of NOX through selective catalytic reduction | Electric trucks have weight penalties | Refueling time less than recharging EV truck, equal to that of refueling hydrogen fuel cell tank

#PowerLight | Wireless power beaming

#Cruise | Robotax | Updated software because its robotax failed to brake quickly enough after the city bus in front of it slowed

#University of Zurich | Applying deep learning to solve different mobile robot navigation problems | Spiking neural network (SNN) architecture | Improving optical flow prediction accuracy | Pytorch | CUDA

#NIH | Deep learning-based knockoffs inference framework

#Nvidia | Autonomous vehicles developed with NVIDIA DRIVE

#AMD | Vitis AI optimization platform

#XiLinx | Optimal Artificial Intelligence Inference from Edge to Cloud AI | Supports networks from Tensorflow and Caffe | Adaptable silicon for Domain-Specific Architectures (DSAs)

#Microsoft | Deep Learning Inference Service

#IBM | Telum Processor

#github | DNN Inference Nodes for ROS/ROS2

#Texas Instruents | Sitara Machine Learning toolkit

#Tensorleap | Debugging and Explainability Platform for Deep Learning | Explore how your model interprets data | Detect root cause of failures | Fix edge cases fast | Slash the number of experiments | Pinpoint, resolve, and test all populations | Verify model to rely on right features | Identify and remove irrelevant data | Eliminate bottlenecks | Label what is needed | Identify and fix problems fast with unsupervised root cause detection | Remove irrelevant samples | Prioritize labeling | Verify and validate thousands of data populations with deep unit testing | Make informed decisions with clear documentation of the development process

#Wolfspeed | Silicon Carbide | Deliver exceptional performance in EV designs | High Power Density Bi Directional EV On-Board Charger Reference Design | Silicon Carbide MOSFETs and Schottky diodes | On board off board automotive power conversion systems | SpeedFit Design Simulator

#Marelli | Global independent suppliers to the automotive sector | Developing electronic and electro mechanical systems for two and four wheel racing vehicles | Supplying all the top teams in all the most important motorsport world championships | Collaborates with Fluid o Tech to develop new cooling pump motor unit

#May Mobility | Ouster to supply lidar sensors to May Mobility for autonomous vehicle deployments | Safely handling the unexpected | Vehicles imagining multitudes of what might happen next | Endless real-time, on-board simulation | May Mobility and Moovit expanding treach and efficiencies of shared autonomous vehicles and AV microtransit projects to mind gaps in public transit

#Rimac Automobili | Nevera EV hybercar | 0-400-0 km/h in 29.93 seconds | 0-60mph in 1.74 seconds | to 400km/h and back to 0 in less time than McLaren F1 to accelerate up to 350km/h | 300 miles on a charge | Refilling from 0-80% in less than 20 minutes | Advanced battery system, powertrain and software | All developed in-house at the Rimac Group | Front and rear powertrains – each composed of two individual motors | Power to each wheel individually | Rear, a 1MW dual inverter enables 900Nm and 470kW per motor | Entirely bespoke front powertrain is designed to deliver optimum power and control | All systems overseen by the web of in-house developed electronic control units | NVIDIA Pegasus-based supercomputer | Calculating and sending output to four powertrain systems 100 times/sec | Rimac All-Wheel Torque Vectoring 2 platform

#ADASKY | Far-infrared sensor and intelligent thermal sensing technologies for autonomous electric vehicles

#AirMatrix | Drone logistics software for autonomous operation of commercial drones

#Cyber Motor Wittenstein | Servo drive system for Automated Guided Vehicles (AGV)

#Agtonomy | Hybrid autonomy and tele-assist platform for agriculture vehicles

#Arbe Robotics | Real time 4D imaging software for autonomous driving

#TANA | Electrically powered mobile shredder

#Apex | Apex.AI agile and iterative software development kit (SDK) | ROS | Autonomous farming systems

#Lemken | Krone | Combined-powers | Design concept of autonomous process unit consisting of drive unit and various implements

#Hentschel System | Hardware and software in measurement technology | Unmanned vehicles | Hawe Hydraulik | Rovo robot platform

#Kubota | Autonomous tractor platform | Farm Management Information System (FMIS) | Real-time monitoring of the tractor | Tractor incorporates sonar and scanner technology, plus optical recognition systems, enabling it to detect stationary or moving obstacles or people at any distance

#AGCO Power | Valtra T235D tractor | 74 LFTN diesel engine | E-diesel | Paraffinic E-fuel | Synthetic hydrocarbon | Drop-in paraffinic diesel | Electrofuel from green hydrogen and carbon dioxide | Combining high-temperature electrolysis, carbon capture and Fischer-Tropsch hydrocarbon synthesis to develop electrofuel production for commercial and industrial scale | High-temperature electrolysis | Carbon capture | Fischer-Tropsch hydrocarbon synthesis | Develing e-diesel for vehicles difficult to electrify

#Advanced Navigation | Inertial measurement unit (IMU) | Heading reference system (AHRS) | Acoustic navigation | AI-based acoustic processing techniques | Subsea transponder | Sidney, Australia

#Austal (ASX:ASB) | Patrol Boat Autonomy Trial (PBAT) | Self-guided Maritime and Remote Technology | Autonomous vessel technology

#John Deere | Autonomous Tractor | SATCOM system | Satellite internet service | Ruggedized satellite terminal | Autonomy | Real-time data sharing | Remote diagnostics | Enhanced self-repair system | Machine-to-machine communication | 4G LTE JDLink modem | John Deere Operations Center | Precision agriculture technology | Brazil | SpaceX | SparkAI | Tractors get extra help when faced with difficult situations, such as dust, rain, or snow | Automatically calling SparkAI service | Passing imagery and other metadata via REST application programming interface (API)

#Kalmar (Cargotec) | Forterra | Developing autonomous terminal tractor solutions

#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67

#Intelsat | CNH (NYSE: CNHI) collaboration | Providing farmers ubiquitous access to internet via ruggedized satellite communications (SATCOM) service | Connecting CNH equipment working in remote locations | Offering gains in productivity and yield through precision agriculture

#Navy Research Laboratory (NRL) | Laboratory for Autonomous Systems Research (LASR) | Prototyping High Bay | Littoral High Bay | Desert High Bay | Tropical High Bay

#SiLC | LR Eyeonic Vision System | Optimized for ranges up to 300 meters | Instantaneous velocity for rapid detection, classification and prediction of dynamic objects

#Flyability | Drones for industrial inspection and analysis | Confined space inspection | Collision and crash resistant inspection drone | 3D mapping | Volumetric measurement | Inspections of cargo ships, bridges, ports, steel mills cement factories, liquid gas tanks, nuclear facilities, city wide underground sewage systems | Ouster lidar

#Google DeepMind Technologies Limited | Creating advanced AI models and applications | Artificial intelligence systems ALOHA Unleashed and DemoStart | Helping robots perform complex tasks that require dexterous movement | Two-armed manipulation tasks | Simulations to improve real-world performance on multi-fingered robotic hand | Helping robots learn from human demonstrations | Translating images to action | High level of dexterity in bi-arm manipulation | Robot has two hands that can be teleoperated for training and data-collection | Allowing robots to learn how to perform new tasks with fewer demonstrations | Collectung demonstration data by remotely operating robot behavior | Applying diffusion method | Predicting robot actions from random noise | Helpung robot learn from data | Collaborating with DemoStart | DemoStart is helping new robots acquire dexterous behaviors in simulation | Google collaborating with Shadow Robot

#Movu Robotics | Robotics | Automated pallet storage solution | Accessible cold storage automation | Temperature-controlled food and pharmaceutical industry | Space optimisation in storage | Streamlined materials handling process | Energy efficiency for cold storage | Robotics for low temperatures with icy and slippery surfaces | Automated Storage and Retrieval System (AS/RS) | Automating picking | Fleet management software

#Neptune Labs | neptune.ai | Tracking foundation model training | Model training | Reproducing experiments | Rolling back to the last working stage of model | Transferring models across domains and teams | Monitoring parallel training jobs | Tracking jobs operating on different compute clusters | Rapidly identifying and resolving model training issues | Workflow set up to handle the most common model training scenarios | Tool to organize deep learning experiments

#SIMa.ai | Platform for edge AI | Enabling edge-ML application-pipeline acceleration on single chip | MLSoC accelerates deep learning workloads | ModelSDK forvmodel loading, quantization and compilation in Python | Python APIs and VSCode remote execution for rapid application development and prototyping | GStreamer plugins enabling high-performance video processing pipelines | ML Pipeline Package for application deployment

#Tesla | Self-driving taxi | Self-driving van

#Tampere University | Pneumatic touchpad | Soft touchpad sensing force, area and location of contact without electricity | Device utilises pneumatic channels | Can be used in environments such as MRI machines | Soft robots | Rehabilitation aids | Touchpad does not need electricity | It uses pneumatic channels embedded in the device for detection | Made entirely of soft silicone | 32 channels that adapt to touch | Precise enough to recognise handwritten letters | Recognizes multiple simultaneous touches | Ideal for use in devices such as MRI machines | If cancer tumours are found during MRI scan, pneumatic robot can take biopsy while patient is being scanned | Pneumatic device can be used in strong radiation or conditions where even small spark of electricity would cause serious hazard

#Canon | Micro stepping motors ranging from Φ 5 mm to 6 mm | DC micro motors with gears, pinions, encoders, and lead wires already attached | Brushless servomotors | Ultra sonic piezo motor | Frameless motors | Optoelectronic Components | 3D Machine Vision System

#Mecademic Robotics | Six-axis industrial robot arm | Robot arms built entirely from aluminum | Control by Python | SCARA robot achieves position repeatability of 0.005 mm, enabling to automate even the most intricate tasks and elevate product quality | Montreal | Canada | Maxon micromotors | Microautomation solutions | Microautomation cell | Automated medical device assembly process

#Allen Institute for Artifical Intelligence | Robot planning precise action points to perform tasks accurately and reliably | Vision Language Model (VLM) controlling robot behavior | Introducing automatic synthetic data generation pipeline | Instruction-tuning VLM to robotic domains and needs | Predicting image keypoint affordances given language instructions | RGB image rendered from procedurally generated 3D scene | Computing spatial relations from camera perspective | Generating affordances by sampling points within object masks and object-surface intersections | Instruction-point pairs fine-tune language model | RoboPoint predicts 2D action points from image and instruction, which are projected into 3D using depth map | Robot navigates to these 3D targets with motion planner | Combining object and space reference data with VQA and object detection data | Leveraging spatial reasoning, object detection, and affordance prediction from diverse sources | Enabling to generalize combinatorially.| Synthetic dataset used to teach RoboPoint relational object reference and free space reference | Red and ground boxes as visual prompts to indicate reference objects | Cyan dots as visualized ground truth | NVIDIA | | Universidad Catolica San Pablo | University of Washington

#NXP | EasyEVSE development platform for electric vehicle (EV) charging stations | Wireless connectivity | Device-to-cloud communication | Accurate energy billing | One-tap NFC authentication | ISO 15118 via the power line communication through the HomePlug Green PHY

#Astera Labs | Intelligent Connectivity Platform | High-speed connectivity integrated circuits (ICs), modules, boards | Connectivity System Management and Optimization Software | Providing hyperscaler customers ability to deploy and operate high-performance AI and cloud infrastructure | Software-defined IC architecture | Distributed microcontrollers and sensors | Real-time link and device monitoring | Smart Fabric Switches | PCIe 6 fabric switch | Delivering maximum predictable performance to increase GPU utilization | Protocol and performance optimization for increased data transfer efficiency | Real-time telemetry data | Built-in protocol analyzer with link state history and timestamps | Full non-destructive eye scan for RX Lane margining | Self-test features to minimize link downtime and accelerate fault isolation | AI scale-up (GPU-to-GPU) | AI clusters | Generative AI applications | Nvidia supplier

#Bishop-Wisecarver | 8th Axis vertical extendibility solutions for to increase reach for small robots and cobots | Vertical movement with travel lengths up to 4 meters | Expanding working envelope for large-scale tasks like painting, sandblasting, and pressure washing | Single robot in place of several larger robots | Actuated linear guide system | Rotary motion guides | Rotary actuators | Customized rotary motion solutions to follow virtually any path | DualVee Motion Technology | DualVee-Single-Edge-Track | DualVee-Journals | Guide wheel components | Linear guide wheel | Track lubricator assemblies | HepcoMotion aluminum profile sections | HDRT track systems combine ring segments and straight slides to follow virtually any path | HepcoMotion PRT2 (Precision Ring and Track), DTS (Driven Track System), and HDRT (Heavy Duty Ring and Track) product lines | HDS2 Heavy Duty Slide System | Precision linear guide components utilizing guide wheel and roller wheel technology

#Open Ocean Robotics | Software for vessel detection | Dark vessel detections

#VORAGO | Radiation hardened and radiation tolerant microcontrollers and microprocessors | High-volume manufacturing to harden commercially designed semiconductor component | Empowers mission success | Radiation-hardened ICs that excel in extreme environments | ARM | Texas Instruments | Brainchip | Custom hardware and firmware solutions tailored to withstand extreme environments | Ensuring that mission-critical components remain resilient | Custom solutions, armed with space-grade electronics and an ARM Cortex microcontrollers | International Space Station: dies measuring the effects of protons and cosmic rays | Satelites: devices utilized in Department of Defense Space Test Program (STP) missions | CubeSats: ARM microvontroller | Semiconductor components and solutions for extreme temperature environments up to +200°C

#ZAPI Group | Industrial Vehicle Third Party | Future of Electrification virtual conference | Global trends in the worldwide shift toward electrification | Challenges and opportunities in electrification across different geographical regions | The latest innovations driving adoption and transformation

#UC Berkeley, CA, USA | Professor Trevor Darrell | Advancing machine intelligence | Methods for training vision models | Enabling robots to determine appropriate actions in novel situations | Approaches to make VLMs smaller and more efficient while retaining accuracy | How LLMs can be used as visual reasoning coordinators, overseeing the use of multiple task-specific models | Utilizing visual intelligence at home while preserving privacy | Focused on advancements in object detection, semantic segmentation and feature extraction techniques | Researched advanced unsupervised learning techniques and adaptive models | Researched cross-modal methods that integrate various data types | Advised SafelyYou, Nexar, SuperAnnotate. Pinterest, Tyzx, IQ Engines, Koozoo, BotSquare/Flutter, MetaMind, Trendage, Center Stage, KiwiBot, WaveOne, DeepScale, Grabango | Co-founder and President of Prompt AI

#A-list celebrity home protector | Burglaries targeting high-end items | Burglary report on Lime Orchard Road | Burglar had smashed glass door of residence | Ransacked home and fled | Couple were not home at the time | Unknown whether any items were taken | Lime Orchard Road is within Hidden Valley gated community of Los Angeles in Beverly Hills | Penelope Cruz, Cameron Diaz, Jennifer Lawrence, Adele and Katy Perry have purchased homes there, in addition to Kidman and Urban | Kidman and Urban bought their home for $4.7 million in 2008 | 4,100-square-foot, five-bedroom home built in 1965 and sits on 1¼-acre lot | Property large windows have views of the canyons | Theirs is one of several celebrity properties burglarized in Los Angeles and across country recently | Connected to South American organized-theft rings

#Professional athlete home protector | South American crime rings | Targeting wealthy Southern California neighborhoods for sophisticated home burglaries | Behind burglaries at homes of professional athletes and celebrities | Theft groups conduct extensive research before plotting burglaries | Monitoring target whereabouts and weekly routines via social media | Tracking travel and schedules | Conducting physical surveillance at homes | Attacks staged while targets and their families are away | Robbers aware of where valuables are stored in homes prior to staging break-ins | Burglaries conducted in short amount of time | Bypass alarm systems | Use Wi-Fi jammers to block Wi-Fi connections | Disable devices | Cover security cameras | Obfuscate identities

#Qt Group | Digital solutions for industrial vehicles | High-Performance Graphics for Industrial Vehicles Digital Twins | High quality and safety standards in heavy machinery environments | Import Figma Variables into Qt Design Studio for faster integration of design systems and theming into UI application via property binding | QtQuick3D | HDR environment for extra photorealism

#Saronic | Port Alpha | Shipyard designed to build autonomous ships for hybrid fleet | Investors: General Catalyst, a16z, Caffeinated Capital, 8VC | Delivering new classes of unmanned ships | U.S. Navydeclared need for hybrid fleet which integrates significant number of unmanned systems operating alongside manned platforms

#Caterpillar | Cat 775 | Off-highway truck | MineStar Command for hauling | 360-degree surround cameras with object detection | Cat Detect radar system | Frame design reducing empty weight delivering | Redesigned suspension for lower centre of gravity | Electronic powertrain controls | Automatically detecting hazards within critical areas around truck | Ability to access and analyse accurate real-time data from truck | Access to the latest software updates | Truck software updates scheduled and executed at a time that does not interrupt the production schedule | Remote Troubleshoot enabling dealer to perform diagnostics remotely while truck is still in operation

#Qualcomm Technologies | Snapdragon 8 Elite Platform | Edge AI Processors | Custom-built Qualcomm Oryon CPU | Qualcomm Adreno GPU | Qualcomm AI Engine | Multimodal generative AI | Large multimodal models (LMMs) | Large language models (LLMs) | Visual language models (LVMs) | AI Image Signal Processor (ISP) | AI-driven 5G | Wi-Fi 7

#MemryX | AI Accelerator Module | Install system software, MemryX SDK, MemryX board | Compile AI model(s) making executable file | Send data & receive results using APIs for AI processing | Up to 6 TFLOPs (1GHz) per chip | Up to 16-chips (96 TOPS/TFLOPs) can be interconnected | Activations: bfloat16 (high accuracy) | Weights: 4 / 8 / 16 bit | Batch = 1 | 10.5M 8-bit parameters (weights) per chip | PCIe Gen 3 I/O | USB 3 interface | 0.6-2W per chip av power | Smart compiler: optimized and automated AI mapping to MemryX hardware | Powerful APIs: Python and C/C++ low and mid-level APIs for AI integration | Runtime: driver and firmware to support Windows or Linux distributions | Bit Accurate simulator: accurately testing models even without MemryX hardware

#Cerebras | AI inference and training platform | Specialized AI chips | Wafer-scale engine (WSE) | 900,000 cores deliver high levels of parallelism required to train large-scale models faster and more efficiently | On-chip memory integration provides high-bandwidth access to data | Processing speeds exceeding 2,500 tokens per second | Real-time processing capabilities for autonomous systems, vehicles, devices

#Self-driving system | Aurora began regular driverless customer deliveries between Dallas and Houston | First company to operate a commercial self-driving service with heavy-duty trucks on public roads | Autonomously haul freight between Fort Worth and El Paso | Planning to expand its driverless service to El Paso, Texas and Phoenix, Arizona by the end of 2025

#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | Fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision

#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping

#Automate | Robotics and automation event | AI and robotics | Automation trends

#Untether AI | Accelerating AI inference | PCI-Express form factor and power envelope | Over 2 PetaOps per card | Accelerator card | AI chip | Intel backef | Toronto, Canada

#OLogic | Robotics | Pumpkin Pi i350 EVK | Edge AI platform | Designed for mainstream AI + IoT applications | Vision and voice edge processing | Facial, object, gesture, motion recognition | LPR, voice activation and speed recognition | Sound isolation, bio-tech and biometric measurements

#Field AI | Autonomous systems for machines deployed to fields | Off-road autonomy

#Alliance for OpenUSD (AOUSD) | Promoting interoperability of 3D content through OpenUSD (Universal Scene Description) | Providing written specification for OpenUSD core functionality | Coordinated development of new OpenUSD functionality | Providing repository to house reference implementations | Technology, platform, and ecosystem built to empower 3D creativity and visualization at cinematic scales | Framework and ecosystem for describing, composing, simulating, and collaboratively navigating and constructing 3D scenes | Created by Pixar Animation Studios, OpenUSD is being embraced by industries beyond the film industry, including architecture, engineering, construction, automotive, and manufacturing

#Komatsu | Manufacturer of construction, mining, forestry and industrial heavy equipment | Ouster lidar supplier for Komatsu suite of autonomous mining equipment offerings | Komatsu equipment with advanced 3D digital lidar sensors | Ouster sensors benefits: zone monitoring routine firmware updates | Autonomy stack to replace legacy 2D lidar systems with 3D lidar

#Blue Atlas Robotics | Self-operating service robot that performs underwater surveys | Shared data platform collecting data from selected Nordic vendors of airborne and subsea drone systems | Sentinus 2 robot live-streamed high-quality underwater data during subsea surveillance operation using 5G in controller unit | Smultaneous aerial streams, enabling comprehensive surveillance solution that covered both above and below water | With minimal equipment, mission preparation becomes effortless, offering greater flexibility | Vision-lock to target for efficient mission ensuring the best quality of data | Point clouds | 3D models | Underwater assets managrment | Visual inspection outputs for vessel bottoms | In-water propeller inspections | Sea chest inspections | Inspecting bow thrusters

#BrainChip | Licenses AI accelerator hardware designs combined with state-of-the-art development tools and advanced neural network models | Bringing on device intelligence to any chip design | Processor IP uses sparsity to focus on the most important data, inherently avoiding unnecessary computation and saving energy at every step | State-space model architecture tracks events over time instead of sampling at fixed intervals, skipping periods of no change to save energy and memory | Edge AI audio processing | Enablinging real-time video and image processing directly on-device | Processing data from sensors like accelerometers, gyroscopes, microphones, radar, and environmental monitors directly on-device | Continuous health tracking that fits Into small wearables | In cabin sensor-based occupant detection system | No unending cloud fees | Support real-time streaming data | Keeps working, even without a network connection | Data stays on device, not in cloud | No transmissionsvmeans less risk of interception | Akida Development Environment (MetaTF) machine learning framework | Processor IP simulator | Python API for neural networks | Conversion Tool (cnn2snn) to convert models to a binary format for model execution on an Akida platform | PCIe Development Board featuring AKD1000 neuromorphic processor in standard PCIe form factor | Akida AKD1000 card features built in capabilities to execute networks without host CPU | BrainChip and VVDN created Akida Edge AI Box for applications such as video analytics, face recognition, and object detection | Event-based neural processor | Models include audio denoising, automatic speech recognition, and language models | Building edge hardware systems that can execute LLMs to provide domain-specific intelligent assistance at the Edge | Building models using an extremely compact LLM topology | Temporal Event Neural Networks (TENNs) based on state-space models combined with pre-processing information in a RAG system | Stand-alone, battery-powered AI assistant that covers huge amount of information

#Weebitnano | AI inference is shifting from cloud to edge devices like phones and cars | Weebit ReRAM shaping up as memory tech that could quietly power billions of them | Artificial intelligence noot just living in cloud, it lives at edge | AI traiking happens in massive data centres, where models learn from huge datasets | AI inference happens on edge devices like smartphones, smartwatches, autonomous cars, drones, factory sensors, and wearables – right where action is | Shift to edge happening because latency, power, privacy, and bandwidth all matter | You can not afford 300-mis delay when your autonomous car needs to spot pedestrian | Edge inference is juggernaut in motion | Flash memory can not scale below 28nm when embedded | Most AI applications already require smaller geometries | Weebit Nano (ASX:WBT) Resistive RAM (ReRAM) technology comes into picture | ReRAM is non-volatile memory (NVM) that stores data faster, uses less power and offers stronger security than Flash | ReRAM can scale to the most advanced semiconductor manufacturing processes | NVM memory retains data even when power is switched off | ReRAM is less vulnerable to tampering, better suited for storing AI model weights, and easier to embed right onto the same chip as processor | Gesture recognition system developed with EMASS | Weights for detection model are stored in ReRAM for processor | South Korea DB HiTek | US semiconductor company onsemi

#Stellantis | Maserati MC20 | Shattered records in autonomous driving blazing down Space Florida Launch and Landing Facility | 197.7 mph (318 km/h) | 630 horsepower V6 Nettuno engine | 0-100 km/h acceleration in 2.88 | Top speed over 326 km an hour | Maserati Twin Combustion technology | AI driver software developed by PoliMOVE-MSU team | Artificial Intelligence Driving Autonomous performance division of Politecnico di Milano | Indy Autonomous Challenge is test bed for innovation and training ground for Politecnico di Milano engineers

#OnLogic | Industrual computers | Edge AI hardware

#ARM | Advanced RISC Machines | RISC instruction set architectures (ISAs) for computers | ARM processors for portable, battery-powered devices, smartphones, embedded systems | SoftBank Group | AI ecosystem | Renesas | ResCon Technologies, LLC | GitLab | Embedl | Mapbox | Roofline | ENERZAi | 221e | AnchorZ Inc | Excelfore | ax Inc | weeteq | Eeasy Tech | Cerence AI | u-blox | SECO | Klepsydra Technologies | Ampere Computing | Senary Technology Limited | Ceva | Sensory | GitHub | Raspberry Pi Ltd | Untether AI | Eyeris | AiM Future, Inc | Dori AI | DeGirum Corp | OmniSpeech | ADLINK | Yobe | SLAMcore | Elliptic Labs AS | alwaysAI | Edge Impulse | SoundHound AI | Cyberon Corporation | Qeexo AutoML | Fortifyedge | TERAKI | NVIDIA | Neuton.AI | Aizip Inc | BrainChip | Roviero | RelaJet | Visidon

#Developer NVIDIA | CUDA Toolkit | CUDA 13.X software lineup | Arm platforms: unifying CUDA toolkit across server-class and embedded devices | Building robotics or AI application once, simulating on high-performance systems like DGX Spark, and deploying the exact same binary—without any code changes—directly onto embedded targets | Tile-based programming: applying simple, expressive commands to entire arrays or matrices, and let system handle low-level execution | Math libraries with linear algebra | Accelerated Python cuda.core | Updated vector types

#Guild Automation | Custom software and electrical systems for industrial vehicles | Developed systems for construction vehicles, agricultural equipment, and satellites | Tailored embedded software solutions seamlessly integratimg with equipment electronic control systems

#NVIDIA DRIVE AGX Thor developer kit | Enabling the development of safer, smarter autonomous vehicles and transportation solutions | Autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies | Platform accelerates the design, testing and deployment of AVs and intelligent mobility solutions | Built on NVIDIA Blackwell architecture, next-generation Arm Neoverse V3AE CPUs and NVIDIA DriveOS 7 software stack | Purpose-built for reasoning vision language action models | Ideal for automotive development | Sufficient I/O to support surround cameras, radars and lidars, common vehicle interfaces including GbE/10GbE and PCI-Express | Meets automotive industry stringent functional safety (ISO 26262) and cybersecurity requirements (ISO 21434) | Automotive companies: are building BYD, GAC, IM Motors, Li Auto, Volvo Cars, Xiaomi, Zeekr | Autonomous trucking companies: Aurora, Gatik, PlusAI, Waabi | NVIDIA AV partners: DeepRoute.ai, Nuro, WeRide, ZYT | Tier 1 suppliers: Continental Automotive, Desay SV, Lenovo, Magna, Quanta | Technology pioneers: AdaCore, Lauterbach, OMNIVISION, QNX, Vector | Three computers: NVIDIA DGX for AI training, NVIDIA Omniverse and NVIDIA Cosmos running on NVIDIA OVX for simulation, and NVIDIA DRIVE AGX for deployment

#Aurora | Aurora Driver self-driving system designed to operate multiple vehicle types | Driver as a service products for trucking and ride-hailing | Self‑driving stack into trucks from major OEM partners to operate around the clock on freight corridors | Proprietary lidar | Verifiable AI | Initial focus hub‑to‑hub long‑haul freight trucks running between logistics hubs on repeatable highway routes | Partners: Detmar Logistics, Aumovio , FedEx , Hirschbach , NVIDIA , PACCAR , Ryder , Schneider ,Toyota ,Uber ,Uber Freight ,Volvo Trucks ,Volvo Autonomous Solutions, Werner

#Applied Intuition | Partnering with Komatsu mining sector | Onboard autonomy vehicle intelligence | Smart cloud control center | Collaboration focuses on deploying next-generation autonomous systems and fleet connectivity across Komatsu mining vehicles | Software-defined vehicle capabilities | Robust digital toolchain | Collision avoidance system | Fleet management system | Software-defined vehicle (SDV) platform | Critical minerals are in high demand | 3% of global mining trucks currently operate autonomously | Market valued at $1.6 billion projected to grow to $12.6 billion by 2031 | At the core are onboard systems for autonomy, perception, planning, and safety | Global Navigation Satellite System (GNSS) signals usage | Dynamic path planning allows vehicles to detect and navigate around obstacles in real time | AI-enabled collaborative mapping automates site updates | Human-machine interface (HMI) | Remote operators and supervisors | Surround View | Collision Avoidance System | Safe operation even offline | Intelligence successfully used in Isuzu autonomous truck

#Plus AI | Autonomous driving systems | The start of customer fleet trials with International (TRATON US brand) on the busy I-35 freight corridor in Texas | Form S-4 filing with the U.S. Securities and Exchange Commission | Industry Heavyweights Join PlusAI Council to Guide Driverless Truck Launch | American Trucking Associations (ATA) | American Association of Motor Vehicle Administrators (AAMVA) | Federal Motor Carriers Safety Administration (FMCSA) | Leading national fleets: Boyle, Ruan | Targeted 2027 launch of factory-built autonomous trucks | International Motors (formerly Navistar) and PlusAI kicked off customer fleet trials on the busy logistics corridor on I-35 between Laredo and Dallas | Managed from International autonomous hub in San Antonio | International tractors feature a factory-installed sensor suite and computer, and AI-based autonomous driving software

#Export-Import Bank of the United States | The official export credit agency of the United States | Supporting American job creation, prosperity and security through exporting | Issuing letters of interest for over $2.2 billion in financing for critical mineral projects | Supply Chain Resiliency Initiative (SCRI) to help secure supply chains of critical minerals and rare earth elements for U.S. businesses | Maintaining access to critical materials to secure U.S. jobs in sectors like battery, automobile, and semiconductor manufacturing | SCRI provides financing for international projects with signed long-term off-take contracts with U.S. companies, providing these U.S. companies with access to critical minerals from partner countries | SCRI: EXIM financing is tied to import authority and the financed amount depends on the amount of the off-take contract between the foreign project and the U.S. importer | Off-take agreements ensure that EXIM financing for critical minerals projects benefits American companies and workers | For U.S. domestic production in critical minerals and rare earth elements, EXIM can provide financing through Make More in America Initiative (MMIA) | SCRI: project must have signed off-take contracts that will result in the critical minerals and rare earth elements output being utilized in the United States, for products that are manufactured in the United States

#KHK Gears | 200 styles of stock gearing products | Over 27,000 unique configurations | Metric spur gears | Metric helical gears | Metric internal ring gears | Straight and helical metric gear racks | Metric circular pitch (CP) racks | Pinions | Straight, spiral, & hypoid tooth metric bevel gears | Straight, & spiral tooth metric miter gears | Metric screw gears | Metric worms & worm wheels | Metric ratchets & pawls | Metric gear couplings | Metric involute splines & bushings | Right-angle metric gearboxes | Gear lubrication systems

#Bosch Rexroth | Autonomous construction, agriculture, mining, and municipal vehicles | Electric and hydraulic actuators | Automation functions on demand | Over-the-air updates for entire fleets | Virtual Walls: Protect defined areas within reach of the vehicle.for Excavator, Wheel loader Telehandler | Smart Hydraulics | Components equipped with intelligent and integrated sensors, and control functions | Comprehensive portfolio of smart components | Mobile off-highway machines with eOC and eCC | eoC: intelligent hydraulic components with a standardized and modular software architecture, allowing to create a customized solution for work functions of mobile machine | eOC BODAS Valve Control | eOC BODAS Pump Control | The combination of both, the eOC System Solutions | eOC BODAS Valve Control: customizable valve actuation functions, CAN joysticks, pedals, and EH-controlled main valves | eOC BODAS Pump Control: CAN communication between pump and diesel engine | eOC system solutions: combining eOC BODAS Valve and Pump Control in a single electronic control unit | eCC: hydromechanical control functions to electromechanical components and thus to software | eCC BODAS Pump Control: reduce hydraulic hardware to the essentials and control hydromechanical functions such as pressure cut-off and various control functions using software

#AGCO Power | Engine manufacturer | Powering tractor and agricultural machinery | Producing custom transmission and power train parts | Decarbonizing agriculture | Hydrotreated Vegetable Oil (HOV) | Hydrogen hybrid concept | CORE platform designed to support also hydrogen or other alternative fuels with minor modifications | Over-the-air monitoring (OTE) updates and diagnostics capability enhance security and control | Variable Geometry Turbocharger (VGT) enables high torque, excellent response and higher braking power

#Visual Components | Robot offline programming (OLP) | Robot programming outside of production system without stopping production | With offline programming, operator can view product in CAD model, enabling welding of internal, hidden areas with robot | Generating programs fast in virtual robot cells from anywhere in the world | Repeatable quality with accuracy and minimal waste | Software validated and optimized programs | Process knowledge database | Virtual models of the production | Mastering complex welding quality and efficiency | Delivering customized, modular machines faster and with higher quality | Customization makes automation and flexible robot programming critical for maintaining productivity | Offline programming expertise of Delfoi Robotics | Visual Components platform | OLP is utilized not only when introducing new products but also in refining existing programs | Visual Components used as a layout design tool | Modeling digital replica of the welding station with software and testing welding possibilities | Doing all programs before machine itself has arrived in factory | After robot installation calibrate, touch up, and upload them to robot controller | Commissioning, involves calibration of designed robot cell for accuracy, ensuring that programs function accurately for a faster production ramp up | Ponsse: harvesters, robotic welding station | Duun Industrier: Norwegian heavy machinery manufacturer, robotic welding station, database optimizing welding procedures in Welding Procedure Specification (WPS) library making it easy to replicate best practices across different products |.Sandvik Mining: manufactures heavy-duty underground loaders and trucks with complex, multi-pass welds, uses IGM and Yaskawa welding robots | Canatu: develops and manufactures advanced carbon nanotubes, along with related products | Pintos: manufacturing of steel reinforcements | Photocentric: manufacturer specializing in photopolymers | Meconet: high-quality metal components | Valmet: process technology, automation solutions and services for pulp, paper and energy industries | Ouman: building automation and energy efficiency for properties | Casemet: steel enclosure solutions | Koja: air handling and fan solutions for ships and buildings | Mulberry: luxury leather goods | MSK Plast: custom-made plastic parts | Delroi targets manufacturing companies across U.S. and Canada | Delfoi collaborates with Oracle, SAP, and Microsoft

#Ocean Autonomy Cluster | Hub for expertise on ocean autonomy

#Marine AI | AI-driven autonomy platform | Port operations | Vessel control | Enabling vessels to navigate independently,avoiding obstacles | Vision system enhancing object detection, classification, and recognition | Situational awareness system | Software suite optimised for small remotely operated USVs | NOMARS program: USX-1 vessel Defiant with comprehensive situational awareness, strategic route optimisation, tactical path routing and obstacle avoidance capability | CETUS project: Extra-Large Uncrewed Underwater Vessel (XLUUV) named XV Excalibur, uncrewed submersible, three-dimensional obstacle avoidance

#Ocean Autonomy Cluster | Hub for expertise on ocean autonomy

#CGI Motion | Motion control products | Precision components | Sub-assemblies | Turn-keying concept from prototype stage all the way through to full production | Vertically integrated manufacturing facility | Solidworks with FE analysis | AutoCad | CAD/CAM | Visual Manufacturing with ERP inventory management and CMM technology | Customers: aerospace, assembly, automotive, coordinate measuring, machine tool, material handling, medical, packaging, pharmaceutical, robotics, semi-conductor, special machinery, telecommunications | 3400 Arrowhead Dr. Carson City, NV 8970

#John Deere | Deere Reports Net Income of $1.065 Billion for Fourth Quarter, $5.027 Billion for Fiscal Year | $3.93 per share | Outlook for small ag and construction and forestry improves | Worldwide net sales and revenues increased 11%, to $12.394 billion, for the fourth quarter of 2025 | Diverse customer segments and geographies | Continued commitment to delivering customer value | Focusing on operational efficiency | Remaining resilient | Demonstratung the strength of business | Commitment to inventory management and cost control | Expectung growth in small agriculture & turf and construction & forestry | Mowers | Tractors | Utility vehicles | Electric Equipment

#Macnica | Autonomous driving | Hardware/software integration techniques, to collect masses of data required from physical environment | Building and incorporating AI, cloud platform

#Aurora | Self driving truck technology provider

#T2 | T2 is supported by over 20 leading companies from various industries dedicated to transforming transportation in Japan via autonomous driving | Having pioneered Japan first commercial Level 2 autonomous trunk line operations | T2 is accelerating its mission to implement Level 4 autonomous trucking | Partners with PlusAI | Fleet operational management system | Transition hubs for switching between manual and autonomous driving | Remote monitoring system | Smart interchanges

#H-Drive International | Developing zero-emission solutions for heavy-vehicle sector | Hydrogen-powered prime mover | Range of more than 600km | Refuelling takes 15 minutes

#SmartNanotubes | Smell Inspector | 16-channel detector chip | Based on semiconducting carbon nanotubes | High sensitivity to odors and VOCs | Consumes only 1 µW of power | Ideal for battery-operated wearables

#Paladin Energy | Supplying uranium fuel to nuclear energy facilities worldwide | Langer Heinrich Mine in Namibia | Uranium produced in Namibia since 1976 under stable mining and uranium regulation regime | Strong community and government support for uranium industry

#Viam | Software platform for building, deploying, and managing robotics applications | Write control logic using a Viam SDK in your language of choice, with well-defined APIs for hardware and services | Treat hardware as a single machine in the cloud | Develop application code from anywhere | The same application code scales from the first prototype to a global fleet | JSON | Python

#NVIDIA cuOpt Agent Skills | Optimizing supply chain decision systems | AI agents interpret business problems expressed in natural language and translate them into rigorous, optimized decisions in seconds | Agent skills—an open format for extending agents with specialized knowledge and workflows | Converting natural language business problems into mathematical models and solving them with NVIDIA cuOpt decision optimization solver | Reasoning capabilities of LLMs | GPU-accelerated solvers | NVIDIA cuOpt is GPU-accelerated decision optimization engine that solves linear programming (LP), mixed-integer programming (MIP), and routing problems orders of magnitude faster than CPU-based solvers | Agent uses MiniMax M2.5 as its reasoning model | Skills act as well-defined function signatures that LLM can invoke | Registering skills enables LLM to discover and call them dynamically based on user intent | Agents require domain-specific data for optimization from planning systems | Agent are prompted with natural language operational goal, such as Generate12-week production and inventory plan that minimizes total cost while meeting forecasted demand across all distribution centers | Workflow uses LangChain Deep Agents to spawn a hierarchy of sub-agents, each responsible for a portion of the workflow | Orchestrating agent reasons about goal, decomposes it into steps, and delegates tasks | cuOpt executes optimization on GPU using massive parallelism to evaluate solution space faster than traditional CPU solvers | Agent receives optimized decision variables and translates them back into human-readable summary | Result is actionable plan that decision-makers can review, refine through follow-up prompts, or push directly into downstream execution systems | OR math models take time to solve optimuzation problems and struggle to adapt when conditions change

#LangChain | Platform helps teams deploy, scale, and manage AI agents | Native GitHub integration | Debugging and iterating faster visualizing agent trajectories and experimenting on the fly with LangGraph Studio, the agent IDE | Managing agents across teams | Generative AI ecosystem | Comparison View | Hotkeys in Annotation Queue | Tools to evaluate response quality: correctness | Pinecone | Specialized agents work better than bloated generalists | Shift toward multi-agent ecosystems designed for specific workflows

#Stellantis | Global automaker | Cell-to-body integration | Battery integrated into vehicle structure ,| jĵjĵto reduce cost, weight and complexity, optimizing embedded energy

#Micron | Industry-leading memory and storage solutions that accelerate AI revolution

#DEUTZ NewTech | Hydrogen engines

#Paralympics | Blind Football (Soccer) | Boccia | Goalball | Para Archery | Para Athletics | Para Badminton | Para Canoe | Para Climbing | Para Cycling Road | Para Cycling Track | Para Equestrian | Para Judo | Para Powerlifting | Para Rowing | Para Swimming | Para Table Tennis | Para Taekwondo | Para Triathlon | Shooting Para Sport | Sitting Volleyball | Wheelchair Basketball | Wheelchair Fencing | Wheelchair Rugby | Wheelchair Tennis

#NVIDIA Neural Reconstruction (NuRec) converts recorded camera and lidar data into photorealistic 3D scenes suitable for simulation | Built on 3D Gaussian-based neural rendering | Enables seamless real-to-sim workflows for training and testing Physical AI agents, including autonomous driving and robotics systems | Ingests multi-sensor captures — surround-view cameras and structured spinning lidar — and produces high-fidelity 3D reconstructions that can be rendered from novel viewpoints in real-time via a gRPC interface or exported as USDZ assets for use in NVIDIA Omniverse simulation platforms | Optional generative post-processing with the Harmonizer diffusion model to harmonize color, lighting, and shadows, enforce temporal consistency, and remove reconstruction artifacts | Autonomous Vehicle Simulation: convert real-world driving recordings into 3D environments for closed-loop AV testing and validation | Robotics (Real-to-Sim): create simulation-ready 3D scenes from physical environments to train and evaluate robotic agents | Sensor Simulation: generate synthetic camera and lidar data from reconstructed scenes for sensor model development and testing | 3D Asset Generation: reconstructed scenes can be used to extract individual 3D object assets for populating simulation worlds | Camera: images from pinhole, fisheye, and f-theta camera models; rolling and global shutter support; optional windshield distortion modeling | Lidar: structured spinning lidar data (e.g., Hesai Pandar, AT128) | Pose: Rig-to-world transforms with timestamps | Dataset Formats: NCore V3/V4 | All processing occurs locally within container | Recorded sensor data (camera images, lidar point clouds, poses) is read from and written to user-specified storage volumes | No data is transmitted externally by container

#Deutz | Manufacturers of drive systems for off-highway applications in power range up to 620 kW |Blue Star Power Systems, Inc acquired | Decentralized energy supply market | Diesel, gas, and hydrogen engines to electric drive solutions | Drive systems for construction equipment, agricultural machinery, material handling equipment such as forklift trucks and lifting platforms, stationary equipment such as gensets, commercial vehicles, and rail vehicles | Revenue +7.5% Q1 2025 vs compared to €489 million | Earnings €21. million Q 2025 | Adjusted EBIT margin 4.3% (Earnings Before Interest and Taxes) | Consistently strong service business | Successful portfolio restructuring | Acquisition of selected Daimler Truck engines | Entry into the genset business | Specialist in exhaust aftertreatment, HJS Emission Technology, acquired | 1,000 sales and service partners in over 120 countries | Founded in 1864 | Employing ca. 5,200 people worldwide | Generated revenue of ca.€1.8 billion in 2024

#Capital Atlas | B2B financial intelligence platform | Designed to connect startup founders with over 14,000 active venture capital firms by utilizing granular search filters | Platform acts as a data-driven matching marketplace rather than a direct investment fund | Featuries specialized tools for AI agent integration and investor data analysis | Search fund managers by stage, sector, geography, and cheque size | Find fund managers matched to your startup profile

#Sevensense | Robot autonomy system combining the benefits of Visual SLAM positioning with advanced AI local perception and navigation tech | Visual Al technology | AI-based autonomy solutions | Visual SLAM | Dynamic obstacle avoidance | Constructing accurate 3D maps of the environment using sensors built into robots | Algorithms precisely localize robot by matching what it observes at any given time with 3D map | Using AI driven perception system robot learns what is around it and predicts people actions to react accordingly | Intelligent path planning makes robot move around static and dynamic obstacles to avoid unnecessary stops | Collaborating with each others robots share important information like their position and changes in mapped environment | Running indoors, outdoors, over ramps and on multiple levels without auxiliary systems | Repeatability of 4mm guarantees precise docking | Updates the map and shares it with the entire fleet | Edge AI: All intelligence is on the vehicle, eliminating any issue related to the loss of connectivity | VDA 5050 standardized interface for AGV communication | Alphasense Autonomy Evaluation Kit | Autonomous mobile robot (AMR) | Hybrid fleets: manual and autonomous systems work collaboratively | Equipping both autonomous and manually operated vehicles with advanced Visual SLAM and AI-powered perception | Workers and AMRs share the same map of the warehouse, with live position data of each of the vehicles | Turning every movement in warehouse into shared spatial awareness that serves operators, machines, and managers alike | Equiping AGVs and other types of wheeled vehicles with multi-camera, industrial-grade Visual SLAM, providing accurate 3D positioning | Combining Visual SLAM with AI-driven 3D perception and navigation | Extending visibility to manually operated vehicles, such as forklifts, tuggers, and other types of industrial trucks | Unifying spatial awareness across fleets | Unlocking operational visibility | Ensuring every movement generates usable data | Providing foundation for smarter, data-driven decision-making | Merging manual and autonomous workflows into a single connected ecosystem | Real-time vehicle tracking | Traffic heatmaps | Spaghetti diagrams | Predictive flow analytics | Redesigning layouts | Optimizing pick paths | Streamlining material handling | Accurate vehicle tracking | Safe-speed enforcement | Pedestrian proximity alerts | Lowerung insurance claims | Ensuring regulatory compliance | Making equipment smarter, scalable, interoperable, and differentiable | Predictive maintenance | Fleet optimization | Visual AI Ecosystem connecting machines, people, processes, and data | Autonomous robotic floor cleaning | Industry 5.0 by adding people-centric approach | Visual AI to providing real-time, people-centric decision-making capabilities as part of autonomous navigation solutions | Collaborative Navigation transforming Autonomous Mobile Robots (AMRs) into mobile cobots | Visual AI confering robots the ability to understand the context of the environment, distinguishing between unobstructed and obstructed paths, categorizing the types of obstacles they encounter, and adapting their behavior dynamically in real-time | Automatically generating complete and very accurate 3D digital twin of an elevator shaft | Autonomous eTrolleys tackling last-mile problem |Autonomous product delivery at airports

#Neura Robotics | Enabling seamless human-robot collaboration | Developing next generation of human-robot systems | Private German deep-tech startup specialized in Physical Artificial Intelligence and cognitive robotics | Founded in Metzingen, Germany in 2020 by David Reger | Deploying general-purpose humanoid robots and intelligent industrial automation | Distinguishes itself by building vertically integrated cognitive robots | Platforms feature advanced multimodal sensing (sight, hearing, and proprietary NEURA Omnisensor touch system) | Allowing robots to react safely to unstructured human environments | 4NE1: flagship humanoid robot is capable of lifting up to 100 kilograms and built to work autonomously alongside humans in factories and homes without protective structures | MiPA: dedicated household and service robot designed for everyday social and assistance tasks | Neuraverse: proprietary, continuously learning operating system creating network effect: when one robot learns skill, insight is shared across global fleet | Possesses deep automated guided vehicle (AGV) and autonomous mobile robot (AMR) expertise | NEURA Gyms physical AI training to produce real-world physical training data | TUM RoboGym at Munich Airport in collaboration with Technical University of Munich | Established a major data-driven robotics training hub in Hangzhou, China | In June 2026, closed $1.4 billion Series C funding round, marking the largest capital raise for a full-stack robotics company in history | This funding aims to drive serial multi-million robot production by 2030 | Tech & Capital Backers: NVIDIA, Amazon, Qualcomm Technologies, Tether | Deep strategic development partnership with Robert Bosch Robotics to gather data and scale manufacturing, alongside integrations with SAP, Schaeffler, Omron, and Kawasaki Robotics | NEURA stands out by operating as an open ecosystem, aiming to open-source parts of its sensor and compute stack to capture early developer adoption

#Guss Automation |Autonomous orchard sprayers | John Deere company | Plans to incorporate Ouster Rev8 OS0 native color digital lidar sensors, powered by L4 Ouster Silicon, into its Autonomous Orchard Machine Fleet | Helping autonomous agricultural machines operate in complex outdoor environments | Traditional GPS systems often lack centimeter-level precision necessary to safely navigate dense orchards and vineyards | With Ouster Rev8 OS0 digital lidar, GUSS is addressing these complexities with additional perception capabilities for autonomous operations | Dense 3D point cloud data Ouster lidar delivers supports navigation and obstacle detection across a range of outdoor operating conditions, including varying lighting environments | Ouster native color lidar sensors will provide additional sensing capabilities in challenging orchard environments, including dust, spray, and dense vegetation | Reliable sensing allows a single operator to monitor up to eight autonomous machines simultaneously from a laptop | The same lidar-powered autonomy approach can be leveraged by other orchard and vineyard operations | Rev8 is the most rugged sensor family Ouster has ever built, providing a validated path to production scale that eliminates compromises traditionally associated with operating complex robotics in heavy-duty outdoor environments