autonomousdevice.dev

#Autonomous Device | Development

#Smart Xhub | IoT | RFID |Tracking | Workflows | Safety

#ElaInnovation | Industrial beacons and sensors

#Axonius | Asset inventory

#NXP | Semiconductors

#NVIDIA | Self driving cars | MLPerf | Measuring time to train neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentatione | Object detection | Image classification | Reinforcement learning | NVIDIA benchmarking suite | MLPerf Training | MLPerf Inference | MLPerf HPC | NVIDIA Platform | Generative AI | Natural language processing

#Open Remote | Open source IoT platform

#Eca Group | Robotics | Autonomous Systems, Simulators, Industrial Equipment

#NDC | IoT

#Ericsson | Telecommunication

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

#Kistler | Dynamic measurement technology for pressure, force, torque and acceleration applications

#BTS Bio Engineering | Motion analysis systems for medical practice

#Aivero | 3D machine vision based automation

#1ot | M2M and IoT

#Teksbotics | Autonomous driving solutions

#OndoSense | Radar sensor technology

#Realwear | Voice operated headset

#Texas Instruments | TI

#InertialSense | Precision and autonomous movement

#Movigo Robotics | Fleet Management

#Renu Robotics | Vegetation management

#Spm Instrument | Portable instruments

#Redshift | Autodesk | Digital Twins | Generative Design | Extended Reality

#Revibe Energy | Vibration analysis

#Desmasa | Autonomous Machines

#Norsat | Communication solutions

#Iridium | Satellite communications

#Onomondo | IoT Network

#IecTelecom | Satellite service operator

#Astrocast | Satellite IoT Tracking

#Metaverse | Virtual Reality | VR | Augmented Reality | AG | Virtual World | Web3 | Meta Platform | Digital Twins | Simulation | Autonomous Vehicles | Autonomous Systems | Robots | Artificial Intelligence | AI | Universal Scene Description | USD

#Ouster | Ouster adds Rev8 OS digital lidar integrations across NVIDIA Jetson Platform | Native color lidar sensing to NVIDIA Robotics ecosystem to power next wave of Physical AI | Rev8 is powered by next-generation L4 Ouster Silicon | Isaac ROS, allowing Rev8 rich, high-density point clouds to be ingested directly into NVIDIA hardware-accelerated perception pipelines | Native support for Rev8 sensors within open NVIDIA Isaac Sim simulation framework | Developers can harness physically accurate 3D lidar models to evaluate range, resolution, color, and intensity to generate accurate synthetic data to train machine learning models and validate full perception pipelines prior to physical deployment | Ouster drivers are tuned to leverage NVIDIA Jetson AGX Orin and Jetson Thor, providing real-time, low-latency processing required for 3D SLAM, obstacle detection, and sensor fusion at edge | NVIDIA NPN partner | Building blocks for Physical AI, enabling machines to sense, think, and act in real world

#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

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

#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

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

#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

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

#Jetson AGX Orin Developer Kit | NVIDIA | 275 Trillion Operations per Second (TOPS) | Multiple concurrent AI inference pipelines | High speed interface support for multiple sensors

#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

#Optimax Systems | Robot polishing platform | Optics prototypes | PickNik | Robot Operating System (ROS) | ABB robot arm | ROS 2 Control library | ABB StateMachine | ABB

#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

#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

#K.U.M. | ISOPOD | Autonomously recording ocean seismic data

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

#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

#Niobium Canada | Niobium

#IDS | Industrial image processing | 3D cameras | Digital twins can distinguish color | Higher reproducible Z-accuracy | Stereo cameras: 240 mm, 455 mm | RGB sensor | Distinguishing colored objects | Improved pattern contrast on objects at long distances | Z accuracy: 0.1 mm at 1 m object distance | SDK | AI based image processing web service | AI based image analysis

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

#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

#HEBI Robotics | Robot development platform | Smart robotic actuation hardware and building blocks | Streamlininh the process of developing robots | Space-rated hardware deployed for missions in space | NASA: SBIR

#Boston Dynamics | Ultrasonic inspections of rotating equipment with Fluke SV600 | Early detection of bearing failures before they lead to costly breakdowns | Operators can capture critical data without the need for additional inline sensors or manual inspections | Leica BLK ARC payload | Autonomous routines | Repeatable laser scans | Precise 3D data for tasks like factory design, equipment installation, and change management | Spot can identify and avoid obstacles requiring additional caution in dynamic environments, including carts, wires, and ladders | Spot Hardware Updates | Tablet Controller Pro | Ergonomic joysticks, longer battery life, and HDMI pass-through | Spot robit operates in temperatures up to 55°C | Core I/O antenna upgrade enhances range and reliability | AI Institute | Artificial intelligence (AI) | Robotics | Intelligent machines | Cognitive AI | Athletic AI | Organic hardware design

#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

#Linux Foundation | LF AI & Data | Fostering open source innovation in artificial intelligence and data | Open Platform for Enterprise AI (OPEA) | Creating flexible, scalable Generative AI systems | Promoting sustainable ecosystem for open source AI solutions | Simplifying the deployment of generative AI (GenAI) systems | Standardization of Retrieval-Augmented Generation (RAG) | Supporting Linux development and open-source software projects | Linux kernel | Linus Torvalds

#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

#ZAPI GROUP | Charging solutions | Battery chargers under Delta-Q and ZIVAN product brands

#Allen Institute for Artifical Intelligence | AI for the Environment | 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

#HuggingFace | SmolLM2 | Language models suitable for deployment on smartphones

#SIKO | Magnetic sensor | Max. resolution 0.4 μm | Works with MB200/1 magnetic tape, MR200 magnetic ring, MBR200 magnetic tape ring | Reading distance ≤1 mm | IP67 protection class | Optionally with reference point R or flexible reference marks FR | Interface LD | Interface RS485 with Panasonic or Yaskawa protocol

#Astera Labs | UALink | High-speed interconnect standard | Scalable connectivity for AI infrastructure | UALink specification for GPU-to-GPU communication | Active Electrical Cables to enable GPU clusters and low-latency memory fabrics applications within and across data center racks | Smart Fabric Switch

#Weebit Nano | Resistive RAM (ReRAM) technology | onsemi signed licensing deal | Treo platform to provide embedded non-volatile memory | ReRAM integration into Bipolar CMOS DMOS (BCD) process | Potential alternative to flash memory | Demand for faster, more efficient, and scalable memory solutions increasing | Lower power consumption | Less vulnerable to common hacking tactics | ReRAM can be integrated easily into chip designs without interfering with power analog components

#Flow Robitics | Pipetting robot | Designed to simplify and automate repetitive manual pipetting tasks

#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

#Robotics & AI Institute | Collaborates with Boston Dynamics | Developed jointly Reinforcement Learning Researcher Kit for Spot quadruped robot | Developing sim-to-real for mobility | Transferring simulation results to real robotic hardware | Bridging sim-to-reality gap | Training policies generating a variety of agile behavior on physical hardware | Trying to achieve novel, robust, and practical locomotion behavior | Improving whole body loco-manipulation | Developing robot capability to manipulate objects and fixtures, such as doors and levers, in conjunction with locomotion significantly enhancing its utility | Exploring new policies to improve robustness in scenarios | Exploring full-body contact strategies | Exploring high-performance, whole-body locomotion and tasks that require full-body contact strategies, such as dynamic running and full-body manipulation of heavy objects, necessitating close coordination between arms and legs | Aiming to utilize reinforcement learning to generate behavior during complex contact events without imposing strict requirements | Develop technology that enables future generations of intelligent machines | Streamlining processes for robots to achieve new skills | Developing perception, situational understanding, reasoning, cognitive functions underpinning robot abilities and combining them with advances in their physical capabilities | Conducting research in four core areas: cognitive AI, athletic AI, organic hardware design, and ethics related to robotics

#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

#Trossen Robotics | Pi Zero (π0) | Open-source vision-language-action model | Designed for general robotic control | Zero-shot learning | Dexterous manipulation | Aloha Kit | Single policy capable of controlling multiple types of robots without retraining | Generalist robotic learning | Pi Zero was trained on diverse robots | Pi Zero was transferred seamlessly to bimanual Aloha platform | Pi Zero executed actions in a zero-shot setting without additional fine-tuning | Pi Zero run on standard computational resources | Hardware: 12th Gen Intel(R) Core(TM) i9-12950HX | NVIDIA RTX A4500 16G | RAM 64G | OS: Ubuntu 22.04 | Dependencies: PyTorch, CUDA, Docker | PaliGemma | Pre-trained Vision-Language Model (VLM) | PaliGemma allows Pi Zero to understand scenes and follow natural language instructions | Image Encoding: Vision Transformer (ViT) to process robot camera feeds | Text Encoding: Converts natural language commands into numerical representation | Fusion: Aligns image features and text embeddings, helping model determine which objects are relevant to task | Pi Zero learns smooth motion trajectories using Flow Matching | Pi Zero learns a velocity field to model how actions should evolve over time | Pi Zero generates entire sequences of movement | Pi Zero predicts multiple future actions in one go | Pi Zero executes actions in chunks | ROS Robot Arms | Aloha Solo package | Intel RealSense cameras | Compact tripod mount | Tripod overhead camera | Ubuntu 22.04 LTS

#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

#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

#Hugging Face | SmolVLM | Vision Language Model (VLMs) | Natural language processing (NLP) | Transformers Library | Model and Dataset Hub | Spaces | Community and Open Science | Rapid prototyping | Enterprise Solutions | Funding: Amazon, Google, and Nvidia | Acquired: Gradio (for ML app development), Pollen Robotics (for open-source AI robotics) | BLOOM: large multilingual language model | Partnered with Meta and UNESCO for global language translation tools

#MemryX | Edge accelerated AI System software | SDK APIs for efficient AI processing | Hardware | Compile AI model(s) making executable file | PCIe or USB interface | x86, ARM, RISC-V processors | Windows, Linux operating systems

#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

#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

#TSMC | AI hardware | Leading-edge logic, memory, and packaging technologies | Research pipeline for technology to enable leading-edge AI devices, circuits, and systems for decades to come | Near- and in-memory computing | Embedded non-volatile memory technologies | 3D integration | Error-resilient computing | AI hardware research

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

#British Encoder | Encoders | Incremental encoders | Absolute encoders | Linear encoders

#Efinix | FPGA products

#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

#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)

#Anybotics | Manipulation payload | Autonomous maintenance tasks | Powerful and torque-controlled arm | Flexible sensor integration | Open software architecture | Access to low-level joint control for developers | System equipped with NVIDIA Jetson GPU | Onboard execution of AI models and real-time perception algorithms | Integrated platform enables advanced mobile manipulation, such as agile tool use, object handling, and real-time interaction in unstructured environments | Human–robot collaboration | Heavy payload handling | Complex tasks | Intelligent, autonomous legged robotics | Legged robotics research package | Collaboration with Duatic, an ETH Zurich spin-off | Workforce App | Operate ANYmal robot from device | Set up and review robot missions | Industrial Inspection

#Duatic | Rugged, weatherproof robotic arm | Actuator architecture | Quasi-direct, water-resistant, actively-cooled drive modules with integrated electronics | Maximum Payload: 12 kg | Continuous Payload: 6 kg | Reachability: 1.0 m | Total Weight: 9.2 kg | End Effector Speed: 10 m/s | Pose Repeatability:< 1 mm | Degrees of Freedom: 6 | Power Input: 48 V | Protection: IP66 | Joint Torque Accuracy (all): ± 0.5 Nm

#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

#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

#Wartsila | Wärtsilä to supply 282MW of flexible engines to operate a new data center project in Ohio, USA | Data center to operate with 15 Wärtsilä 18V50SG engines running on natural gas | Quick access to power | High reliability | Fuel efficiency | Exceptional heat resilience | Optimal engine operation under high temperatures

#Lattice Semiconductor (NASDAQ: LSCC) | Low-power FPGAs | Helping to deploy neural networks near sensors | Mitigating challenges and risks associated with edge model deployment

#OnLogic | Industrual computers | Edge AI hardware

#Unitree | Go2 robot | Self-developed 4D LIDAR L1 | 360°x90°hemispherical ultra-wide recognition | Super small blind spot | Minimum detection distance 0.05m | All-terrain recognizing | With L1 LiDAR and dedicated App, you can construct point cloud map within certain area, specify path for Go2 to move autonomously | Intelligent side-follow system: utilizing wireless vector positioning and control technology, positioning accuracy is technically upgraded by 50%, remote control distance is over 30m, combined with optimised obstacle avoidance strategy | Robot automatically connects to cloud-based OTA service upgrading its programs to continuously improve user experience | Wi-Fi6/Bluetooth/4G | 2h—4h battery endurance | 5m/s max running speed

#New Eagle | Production hardware and development software platform

#ASMLManufactures complex lithography systems critical to the production of microchips | Machines shipped are worth hundreds of millions of euros apiece | Zero-for-zero tariff with USA

#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

#XPENG | AI-driven mobility company | Designs, develops, manufactures, and markets Smart EVs | Catering to tech-savvy consumers | Develops full-stack advanced driver-assistance system (ADAS) technology and intelligent in-car operating system | Xmart OS: from driving cockpit to intelligent space | XPILOT ASSIST: Intelligent driving assistance-Easy to drive, easy to park | Over the air software update (OTA) | AI-powered production car equipped with an L3-grade computing platform | Effective computing power exceeding 2000 TOPS | Onboard deployment of VLA (Vision-Language Action) + VLM (Vision-Language Motion) models | Autonomous driving research | Large-scale fleets | Vast real-world data | Data-driven era

#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

#Bair | Academic AI research lab | Vision-language model (VLM) | Training vision models when labeled data unavailable | Techniques enabling robots to determine appropriate actions in novel situations | LLMs used as visual reasoning coordinators | Using multiple task-specific models

#SFA Oxford | Research | Critical minerals in Artificial Intelligence

#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

#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

#ARM Institute | Manufacturing Innovation Institute (MII) | Funded by Office of Secretary of Defense | Part of Manufacturing USA Network

#Hexagon | AEON humanoud | Dexterous hands | Multimodal sensor suite | Mission control system | Top speed: 2.4m/s | Weight: 60kg | Height: 165cm | Battery: Auto-swap | Payload: 15 kg short-term, 8 kg constant carry | Degrees of freedom: 34

#Stability AI | Generative AI | Chatbot with text and image generation | Text-to-image technology | Multi-subject prompts | Model available via API | Generative AI video model | Music and sound effects generation with audio diffusion technology | 3D object generation from single images | Lenovo Creator Zone | Amazon Bedrock service from Amazon Web Services (AWS) | Stable Diffusion 3.5 | Multiple customizable variants | Run on consumer hardware

#Linux Foundation | LF AI & Data | Fostering open source innovation in artificial intelligence and data | Open Platform for Enterprise AI (OPEA) | Creating flexible, scalable Generative AI systems | Promoting sustainable ecosystem for open source AI solutions | Simplifying the deployment of generative AI (GenAI) systems | Standardization of Retrieval-Augmented Generation (RAG) | Supporting Linux development and open-source software projects | Linux kernel | Linus Torvalds

#Telco | Precision-engineered motion control and air-moving solutions | Electronically Commutated Motors

#Figure AI | BMW Manufacturing | General purpose robots into automotive production | Humanoid robots | Manufacturing facility in Spartanburg, South Carolina | Integrating AI and robotics into the automotive industry

#Pinecone | Serverless vector database architecture | Vector clustering | Vector search | Indexing and retrieval algorithms | On-demand retrieval | gen AI applications

#UiPath | Robotic Process Automation (RPA)

#Encoder | Automated material handling systems | Conveying, warehousing, heavy lifting | Rotary encoders | Encoder feedback to monitor belt speed and direction | Monitoring the position of objects on conveyor

#LUCID | Arena software development kit | SDK provides easy access to the latest industry standards and software technology | SDK supports Windows, Linux 64bit and Linux ARM operating systems, and C, C++, C# and Python | LUCID cameras conform to the GigE Vision 2.0 and GenICam3 standards

#Boston Dynamics | Stretch robot | NFI | Third party logistics provider (3PL) | Unloading trucks and containers | Moving freight through facilities | Inbound and outbound distribution centers

#BASF | 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

#Autodesk 3ds Max | Autodesk

#OXTS | GNSS aided inertial navigation systems | Oxford Technical Solutions

#RocketDNA | Broad Area Beyond Visual Line of Sight (BVLOS) Self-Assessment Trial | Groundbreaking self-assessment capability gained | Faster Drone-in-a-Box deployments | The first commercial operator approved under CASA new self-assessment trial | Capability to self-assess and commence operations within days | Enterprises operating across multiple sites - particularly in mining, agriculture, and industrial sectors - new projects can start faster, site expansions supported immediately, autonomous drone benefits realised quicker | RocketDNA operated BVLOS missions from Remote Operations Centre (ROC) since 2022 | Developed robust safety management systems | Refined operational procedures through thousands of flights | Built deep expertise in risk assessment and mitigation | Established proven track records with the regulator | Operating safely around active industrial sites and infrastructure | Navigating overlapping safety frameworks (aviation, mining, workplace safety) | Working seamlessly with existing site operations and security protocols | Meeting the uptime and performance standards enterprise customers demand | Deployment and installation at client site | Remote operations from certified Operations Centre | Maintenance and compliance for all equipment | Data processing and delivery in preferred formats | Drone capability can move with operational priorities, not lag weeks behind them | Ability to quickly deploy drone to new locations | Running comparative trials across different sites | Autonomous drones can handle mine stock pile flights automatically on a set schedule | Volume calculations and 3D models are ready within hours | Automated flight patterns give consistent image overlap and quality. | Better data for planning | Fewer surprises at end of month | Docked drone systems sit in weatherproof unit that houses drone and its charging and communications systems | Base station arrives on site pre-mounted on a skid to make installation simple | Off-grid power options like hybrid solar, battery, and diesel | When scheduled or triggered manually, roof slides open, drone takes off, flies a pre-set route, and returns to recharge | Data uploads automatically, streaming live to team via Starlink, LTE/5G, or site network | SurveyBot start from around $50–60k | Rio Tinto Gudai-Darri mine designed around autonomous haulage and remote operating centres | Mine planning, drill and blast, environmental, and geotechnical teams all needed regular surveys and imagery to support their work | Autonomous haulage fleet is running continuously | Reducing the number of manual vehicle movements into the pit | Giving multiple departments faster access to survey imagery and data | Freeing surveyors from routine flying | With more than 190 square kilometres of mine to cover | Automating routine missions with docked drone system, but retaining manual flights for specialised jobs | Satellite connections with Starlink meant system could be brought online with a simple antenna

#ChcNav | Object Analysis | Object Detection | Autonomous Vehicle | Integrated IMU RTK technology | GNSS RTK engine | Calibration free high end IMU sensor | Advanced GNSS tracking capabilities | High end connectivity modules: Bluetooth, Wi-Fi, NFC, 4G, and UHF radio modem | Base to rover surveying up to 5 km | Embedded 624-channel GNSS technology for GPS, GLONASS, Galileo and BeiDou signals

#Grupo Boticario | Smart Lipstick application system | Automation to personal grooming for individuals with disabilities and motor limitations | Smart Lipstick device leverages artificial intelligence, computer vision, and robotics | CESAR Innovation Hub AI collabiration | Partnership with Neurobots for prototype development | Financial support of EMBRAPII (Brazilian Industrial Research and Innovation Company) | Ergonomic chin platform, similar to eye examination machines in optical clinics | User places her chin on platform, and device handles rest automatically | Activated through simple button commands | System employs a mechanical arm | Lipstick application process in approximately two minutes | Dexterous arm | Advanced computer vision | Device captures facial images to map lips and differentiate lip tones from facial colors accurately | Robotic arm applies lipstick precisely, followed by a verification photograph to confirm a correct and uniform application | Technology not only applies makeup flawlessly but empowers people with disabilities (motor disabilities or visual impairments) to experience the joy and confidence that comes with applying and wearing lipstick independently | Oromoting more autonomy during daily routines | Ability to express oneself freely, considering specific needs and preferences

#Neurobots | Neuroengineering solutions | Making health technology accessible to everyone | Offering cutting-edge solutions that integrate health and technology to accelerate recovery and transform lives | Smart Lipstick device to Grupo Boticario

#Omega | Ocean exploration with Omega watch | Water resistant: minimum depth of 30 bar (300 m/1000 ft) depending on model | Helium valve: prevents He molecules, which expand during decompression, from popping crystal face and caseback of watch | Unidirectional rotating bezel: preventing divers from accidentally rotating it wrong way and miscalculating dive time | Display: luminescent hands, indexes and dot | Shock and rack resistant: exploring caves, shipwrecks and reefs | Extendable bracelet: making extra room for thickness of diving suit | Antimagnetic: resisting forces from electronic devices | Pushers that work perfectly underwater | Official Timing Partner of the U.S. Olympic Team | Since 1932 brought its renowned precision, expertise, and technical innovation to Olympic Games, separating the margins between gold, silver, and bronze, and serving each athlete during their career-defining moments

#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

#Microsoft | Rho-alpha robotics model | Rho-alpha translates natural language commands into control signals for robotic systems performing bimanual manipulation tasks | It expands perceptual and learning modalities beyond those used by Vision Language Action (VLA) models | For perception it adds tactile sensing accommodating modalities such as force | Optimization of Rho-alpha training pipeline and training data corpus | Co-training on trajectories from physical demonstrations | Web-scale visual question answering data | Continuing extending model to additional sensing modalities | Training pipeline generates synthetic data via a multistage process based on reinforcement learning using open NVIDIA Isaac Sim framework | Combine simulated trajectories with commercial and openly available physical demonstration datasets | Human operators to set a robot back on track using intuitive teleoperation devices such as 3D mouse

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

#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