personalrobot.app

#Personal Robot | Applications

#Universal Robots | Collaborative robots engineered for industrial‑grade performance | Collaborative robotic arm solutions | Collaborative robots handle repetitive and ergonomically challenging tasks with precision and consistency | Moving the cobot to new processes is fast and easy | Cobots are able to re-use programs for recurrent tasks | Cobots deliver repeatability down to ±0.03 mm (30 microns), ensuring every movement is accurate and reliable | Over 100,000 cobots sold worldwide | AI Accelerator: improved decision making through computer vision to enhanced motion capabilities derived from training models | Embedded NVIDIA Jetson Orin (tm) box combined with PolyScope X

#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

#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

#Boston Dynamics | Spot robot | Radiation mapping autonomously | Gamma ray sensors | Personal dosimeters | Neutron detection | Alpha inspection with pancake sensors| Ability to withstand large amounts of radiation | Cabability to carry a variety of radiation detection payloads | Ongoing safe operation and eventual decommissioning of nuclear power plants | Machine learning algorithms | AI | Boston Dynamics

#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

#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

#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

#SICK | Traffic sensors | Safety radar sensors | Safety light beam sensors | Safety camera sensors | Pattern sensors | Non contact motion sensors | Magnetic cylinder sensors | Luminescence sensors | Inertial sensors | Inductive proximity sensors | Glare sensors | Fork sensors | Fluid sensors | Fiber optic sensors | Distance sensors | Contrast sensors | Color sensors | Capacitive and magnetic proximity sensors | Array sensors

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

#Intuition Robotics | ElliQ | Aging companion | Answers phone | Reads emails | Plays music | Reminds to take medicines | Arranges cabs | Recalls appointments | Plays games | Accesses social media | Conducts on screen video chats | Suggests music, podcasts, or audiobooks | Recommends health activities

#RIKEN | Sumitomo Riko | ROBEAR | Nursing robot | Lifting a patient from a bed in a wheelchair | Supporting a patient who is standing but needs help

#Luvozo | SAM | Robot companion | Provides residents with frequent inspection and non medical care | Robot has a display and cameras that nurses can use to track

#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

#Acapela Group | AvatarMind | iPal

#Moin | Care O Bot 4

#Blue Frog Robotics | Buddy

#Lovot | Lovot Robot

#Miko | Miko Robot

#Digital Dreams Lab | Anki

#Amazon | Astro Robot

#Trexo Robotics | Robotic brace | Helping children with cerebral palsy, spinal muscular atrophy, muscular dystrophy, stroke, brain injury, hemi and paraplegia, spinal cord injury, Rett syndrome, neuromuscular conditions

#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

#Misa | English, Spanish, Italian, Mandarin

#Aibo | Robotic puppy

#Energize Lab | Eilik

#Embodied | Moxie Robot

#Hey Winky | Winky

#Misty Robotics | Misty Robot

#Aido Robot | Aido Robot

#Fourier | GRx humanoid robot series | GR-2 stands 175 cm (68.9 in.) tall and weighs 63 kg (139 lb.) | GR-2 offers 53 degrees of freedom and single-arm load capacity of 3 kg (6.6 lb.) | Fourier humanoid has detachable battery | Concealed wires and more compact packaging | Hands with 12 degrees of freedom | Array-type tactile sensors that sense force and can identify object shapes and materials |Fourier Smart Actuators (FSA) | Software development kit (SDK)

#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

#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

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

#IEEE | RAS

#Parvalux | Electric motors | Geared Motors for Robotic Solutions

#OpenAI | Whisper | Open source deep learning model for speech recognition | Transcribing audio in several languages | Automatic speech recognition (ASR) without the privacy concerns | Content creating | Adding AI to everyday workflows

#Harmonic Drive | Rotary Actuator | Integrated Actuator | Supermini Actuator | Integrated servo drive | Mini actuator with an integrated servo drive | Brushless actuators with large hollow bore | Precision servo actuators | Gearheads | Gear component sets

#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

#Microchip Technology | Tactile Twist on Modern Touch Displays | Reduces Bill of Materials (BoM) | Operates on standard sensor patterns | Eliminates need for openings in the front panel | Configurable knob position, size and number of detents (clicks) | Optional push function | Up to four knob instances | Mount capacitive rotary encoders, also called rotary knobs, over a touch panel | The knob is a passive mechanical element, specifically designed to include at least one conductive pad | The maXTouch KoD touchscreen

#Barrett Technology | Therapy robot designed for intensive motor learning practice and repetitions

#Toyota | Columbia Engineering | MIT | Kitchen-based tasks | Robots figuring out on their own how to grab, hold and manipulate different types of items | Knife evenly putting spread on slice of bread | Using spatula to flip pancake | Using potato peeler to peel potatoes | Rolling out dough into pizza base, then spoon sauce onto base and spread it around with spoon | Large Behavior Model (LBM) | Future robot owners and operators to rapidly teach their bots new tasks as necessary

#Sanctuary AI | Pheonix humanoid robot | General-purpose humanoid robot | Form factor similar to an average-sized human | Carbon AI control system | Human-like intelligence | Robotic hand | Hand-eye coordination of object manipulation tasks | Haptic technology that mimics the sense of touch | AI model training | General-purpose robotics

#HEBI Robotics | Scope desktop app | Monitoring and configuration platform | Configure, command, and update HEBI modules on network

#Langchain | Applications that can reason

#IDS | Pick and place robots

#Robotnik | Mobile manipulators

#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

#Blue Atlas Robotics | Sentius self-operating service robot that performs underwater surveys

#Arimation Robotics | Custom automation solutions | Mecademic Robotics

#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

#picknik.ai | Hybrid autonomy for teleoperation of robotic arms

#Angsa Robotics | Mobile robots automating rubbish collection

#Figure.ai | General purpose humanoid | Robots to handle general tasks | Enabling robots to learn and interact with environment | Humanoids designed to caring for elderly or even cooking meals | Focusing primarily on industrial warehouse applications to start

#Kitchen Robotics | Beastro | Dark kitchen sector

#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

#Stereotaxis | Robotic Magnetic Navigation (RMN) System | Utilizing smaller magnets that rotate along their center of mass | System is significantly smaller than traditional ones | Providing physicians and nurses with greater access to patient during procedure | Iincreasing space in labs for enhanced work environment | Magnets are held on flexible and rugged robotic arms | Allowung wider x-ray angulation

#Apptronik | Human centered robotic systems | Robotics systems operating in close proximity to humans | Astra upper body humanoid robot | Dreamer upper body humanoid developed by MEKA for UT Austin HCRL

#Agility Robotics | Digit | Digit Robot | 175 cm (5’9’’) | <65kg (14l lbs) | Can carry up to 16 kg (35 lb) | Works 16 out of 24 hours | Autonomous Charging | Connects itself to its docking station | Walks forward, backward, side to side | Turns in place | Crouching walk | Up and down inclines | Across unstructured terrain

#Hebi Robotics | Modular robots

#Medrobotics | Surgical robots

#phd | Grippers | Flexion

#Persona Inc AI |Humanoids for heavy industry 3D job | Developing humanoid platform designed specifically for heavy industry jobs | Commercializing NASA robotic hand IP to deliver superior dexterity for skilled jobs | Adapting to various industry use cases via modularized Personas | Purpose-built humanoids for ship buildong | Taking robots from controlled labs into harsh environments like space and the depths of the sea

#Real Botix | AI-powered robots for companionship | Human-like robots

#Istitutomarangoni | Fashion schools | Milano School of Fashion | Firenze School of Fashion & Art | With AI the most intriguing part of the results is the serendipity, the unknown, the unexpected outcomes that can inspire new design ideas and lead to creative breakthroughs | Humanoid robots and fashion future | Shanghai, humanoid robots transcend fashion hype, reimagining design, challenging beauty norms, and unlocking metaverse opportunities | Convergence of fashion and technology | Human-machine collaboration in fashion | Genuine, emerging trend | Creativity, production, and human-machine interaction | Robots are becoming experimental platforms | Integration of robots into runway | Aesthetic Reinvention: designing beyond the human form | Fostering Human-Robot Collaboration From Runway to Production and Retail | Challenging Beauty Norms | Paving Way for Future Trajectories: The Metaverse of Fashion

#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

#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

#NVIDIA Developer | Newton | Open-source, extensible physics engine being developed by NVIDIA, Google DeepMind, and Disney Research | Built on NVIDIA Warp, which enables robots to learn how to handle complex tasks with greater precision | NVIDIA CUDA-X acceleration library | Physics-based simulations, using parallel processing power of NVIDIA GPUs | Compatibility Multi-Joint dynamics with Contact (MuJuCo) | Differentiable simulators generate forward-mode results and compute reverse-mode gradients of simulation results for back-propagation to optimize system parameters | Enabling multiphysics simulations for robots to interact with food items, cloth, deformable objects through custom solvers, integrators, numerical methods | Disney Research usingvNewton to advance its robotic character platform | Intrinsic and NVIDIA collaborating on defining OpenUSD asset structure for robotics

#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

#Unitree Robotics | Civilian robotics company | Focusing on the R&D, production, and sales of consumer and industry-class high-performance general-purpose legged and humanoid robots, six-axis manipulators | Opening ceremonies as Winter Games 2022, 2023 Super Bowl | First company to start public retail of high-performance quadruped robots | . First to achieve industry landing, with global sales leading over years | Leadership in core robot parts, motion control, robot sensing | Attaches great importance to independent RD and technological innovation, fully self-researching key core robot components such as motors, reducers, controllers, LIDAR and high-performance perception and motion control algorithms | Integrating entire robotics industry chain | Reaching global technological leadership in the field of quadruped robots | More than 180 authorized patents | Unitree R1 humanoid | Agile mobility: 24-26-DOF for adaptation to complex scenarios; its 2-DOF head enhances environmental perception | Lightweight structure, easy maintenance: ≤121cm agile form, ultra-lightweight at about 25kg, ready out-of-the-box to empower | Integrated with Large Multimodal Model for voice and images: Fully open control interfaces for joints and sensors, with support for mainstream simulation platforms | Height Width and Thickness（Stand): 1210x357x190mm | Degree of Freedom(Total Joints): 24 | Single Leg Degrees of Freedom: 6 | Single Arm Degrees of Freedom: 5 | Waist Degrees of Freedom: 2 | Head Degrees of Freedom: None | Dexterous Hand: NOT | Joint output bearing: Crossed roller bearings, Double Hook Ball Bearings | Joint motor: Low inertia high-speed internal rotor PMSM(permanent magnet synchronous motor,better response speed and heat dissipation) | Maximum Torque of Arm Joint: 约 2kg | Calf + Thigh Length: 675 | Forearm + Upper Arm Length: 435 | Joint Movement Space: Waist Joint：Y±150° R±30°, Knee Joint：-10°~+148°, Hip Joint：Y:±157° P:-168° ~+146° R:-60° ~+100° | Electrical Routing: Hollow + Internal Routing | Joint Encoder: Dual + single encoder | Cooling System: Local air cooling | Power Supply: Lithium battery | Basic Computing Power: 8-core high-performance CPU | Microphone Array: 4-Mic Array | Speaker: YES | WiFi 6 | Bluetooth 5.2 | Humanoid Binocular Camera | NVIDIA Jetson Orin Optional (40-100 Tops) | Smart Battery (Quick Release) | Charger | Manual Controller | Battery Life: about 1h | Upgraded Intelligency: OTA | Warranty Period: 8 Months

#Deep Mind | Gemini Robotics | Vision language action | Multimodal reasoning | Real-world understanding | Gemini Robotics On-Device VLA model is optimized to run locally on robotic devices | Strong general-purpose dexterity and task generalization | Optimized to run efficiently on the robot itself | Gemini Robotics SDK | MuJoCo physics simulator | Foundation model for bi-arm robots | Completes highly-dexterous tasks like unzipping bags or folding clothes — all while operating directly on the robot | Trained model for ALOHA robots first | Adapted model to bi-arm Franka FR3 robot and Apollo humanoid robot by Apptronik | Generalist model can follow natural language instructions and manipulate different objects

#Advanced Robotics and Controls Lab (ARClab) at University California, San Diego (UCSD) | Dedicated to research in design and automation of intelligent robots for the betterment of humanity | Surgical robots for semi-autonomous and image-guided surgery | Biomimetic robots for human-robot care, animal conservation, and extraterrestrial exploration | Robot learning for interacting with the world around us | Group is directed by Professor Michael Yip | Humanoids in Hospitals: A Technical Study of Humanoid Surrogates for Dexterous Medical Interventions | Differentiable Rendering-based Pose Estimation for Surgical Robotic Instruments | Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters | SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning | AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care

#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

#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

#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

#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

#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

#Industrial inspections with advanced robotics | Improving safety, efficiency, and reliability | Reducing downtime | Enhancing operations in challenging environments

#Enhancing predictive maintenance with autonomous robot | Identifying thermal anomalies and air leaks | Reducing downtime | Improving asset performance

#Control Bionics | Speech generating devices and AAC accessories to complex communication and physical needs | Damaged muscles emit small electrical signals for reliably control basic computer functions | Augmentative communication | NeuroNode: wireless, wearable sensor giving user ability to access technology by EMG or spatial movements

#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

#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

#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

#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

#LimX Dynamics | Building full-size, general-purpose humanoid robots | Hardware design and manufacturing | Integrating high-level cognition with whole-body control | Full-size interactive humanoid robot LimX Luna | LimX COSA (Cognitive OS of Agents) | Physical-world-native Agentic OS | Designed as Agentic OS | Deeply integrated high-level cognition with whole-body motion control | Enables robots to have a neural system with both ability to perceive and move, to think while working in real-world environments | Powered by COSA, LimX Dynamics full-sized humanoid robot Oli has become the first humanoid agent to possess both advanced loco manipulation and high-level cognition | Systematic integration allows humanoid robots to think proactively and work autonomously | Low level: robust whole-body control foundation model, providing stable balance and motion | Mid level: navigation, obstacle avoidance, pick-and-place, and stair climbing | High level: Autonomous cognition and decision-making | COSA enables robot to contextually engage with physical world | Embodied agent capable of adaptive perception, autonomous cognition, and continuous learning through physical interaction | Natural language understanding and intent recognition to autonomously decompose long-horizon tasks and adjust priorities in dynamic environments | Recognizing people | Recalling interaction histories | Maintaining contextual awareness | Cognitive intent can be directly realized through stable action, for example, challenging terrains like long stairs | COSA is first-of-its-kind OS, turning humanoid robots into intelligent agents capable of mastering physical world

#NVIDIA | Agentic AI | Systems for agentic AI | NVIDIA Blackwell | Agent breaks goal into many steps and keeps going until task is done | LLM calls are chained together | Each LLM call is passing growing context | Context embed tools such as code call, database search, web search | Chained LLM calls, tool call delays and growing context stress accelerated computing systems in fundamentally different ways than a single LLM call | For companies building and deploying agents at scale, it is important to understand how responsive agents are, how many can be deployed simultaneously and how much useful work AI infrastructure can deliver for every dollar and watt invested | CUDA kernels accelerate performance by overlapping communication and compute | Separating inputs processing from outputs processing helos to optimize them independently | Real coding agent trajectories: receiving a task, reading files, writing and editing code, executing commands, iterating based on results | Public code repositories across 12+ programming languages used | Platform can support simultaneously limited number of agentic tasks | There is growing demand on agentic AI at scale

#Galbot | Beijing Galaxy General Robot Co., Ltd | Heavy and light duty humanoids | Autonomous path planning | Autonomous hot swapping of batteries | Inference resistant | Opened autonomous retail stores, known as galaxy capsules, across Beijing | Deployed humanoid robots in some of Beijing FamilyMart convenience stores | Inside silver, spacecraft-like capsule stores, humanoid robots prepare coffee, retrieve drinks and serve customers without human assistance | Company plans to launch similar stores in 10 cities, locating them in commercial districts, transportation hubs, tourist attractions and urban neighborhoods | Galbot dual-track strategy is deploying robots in both industrial and retail settings | Galbot S1 mobile robot is capable of carrying loads of up to 50 kg while operating continuously through battery swapping and has entered production lines at companies including battery giant CATL and automaker BAIC Group | Robots can not only move but also operate autonomously in complex, dynamic environments as part of everyday business operations

#MIT | Spatial memory system for robots efficiently capturing details about objects they see while exploring their environment | Memory framework that allows robots to rapidly form and recall a detailed mental model of complicated, large-scale environments | Method combines advanced map representations with rich descriptions of environment that robot gathers as it travels over a long period of time | Robot can quickly access this memory to answer complex queries about its environment in plain language | Method could have applications in augmented reality systems | Multimodal computer vision models can understand and richly describe objects in scene, but they often only process a single annotation at a time | Robotic mapping frameworks create 3D maps of environment, but usually lack detailed descriptions of objects | Describe Anything, Anywhere, Anytime, at Any Moment (DAAAM) method takes the best of both approaches | Using DAAAM, as robot traverses its environment, it attaches rich descriptions to objects it sees | Robot stores this detailed information in a 3D map-based representation that is arranged spatially, so objects will be grouped into separate regions | DAAAM aggregates nearby objects as it travels and uses an optimization method to select key frames to annotate | Method clusters objects into regions | Researchers used an LLM that calls on various tools, which can quickly retrieve specific information in a way that reduces hallucinations | DAAAM can use a semantic search tool to retrieve information based on word sculpture or a different tool to retrieve information based on location of building | Future system can capture significant events that happened in environment | Researchers working to incorporate confidence levels into system responses | Research was funded, in part, by U.S. Army Research Laboratory and Office of Naval Research

#Ambarella | AI Vision Processors For Edge Applications | Developed a series of processors specifically designed to deliver a combination of outstanding computer vision performance, industry-leading neural network processing, stereovision capabilities, and high-resolution/high-framerate video analysis—all while consuming minimal power | Vector processors can handle an array of complex neural networks | Video processing pipeline enables operation in challenging lighting conditions such as high-contrast scenes and extremely low-light environments

#Blue Eye Robotics | Underwater drone systems | | Blueye X3 | 4K video | Onboard AI capabilities | Blueye Cloud: online platform giving organisation a single home for everything captured by Blueye fleet, and a complete management surface for drones, batteries, and equipment that produced it | Dive playback: every dive replayed on map with depth-coloured track, time-synced video, photos, and multibeam playback in browser | Projects: group dives, missions, attachments, and custom map layers into shareable inspection report | Mission planning: design waypoint missions and survey areas on browser-based mission planner, then export them to Blueye App | Sharing: secret links or email invitations let you hand dive or project to anyone, with no Blueye account required on other end | Live streaming: push live video from 5G-connected drone straight into cloud over RTMP | Custom map layers: bring bathymetry tilesets and vector overlays (GeoJSON, KML, TopoJSON) to every map view | Blueye Cloud plays back .mbez multibeam recordings as a live, depth-coloured fan rendered in WebGL right on dive map, no specialised software, no plugin, no separate viewer - no other inspection platform does this in a browser | Blueye Cloud adds browser-based mission planner | Upload your own bathymetry surveys and site charts as MBTiles tilesets (PMTiles is also supported) | Bring any vector data (fish-farm cages, harbour structures, pipeline routes) as GeoJSON, TopoJSON, KML | Voice transcription | Describe with AI action on any photo generates a caption and suggests tags from organisation own tag catalogue | If your drone is operated from 5G-connected device, Blueye Cloud can act as your live streaming server | Drone can go live in cloud, viewable in browser via WHEP or LL-HLS for sub-second latency. | Live telemetry and live sonar are coming next

#Flow Robotics | Pipetting robot | Integrated magnetic deck, a coldplate, a cooling block, and a shaker with or without temperature control | Loops in washing steps for DNA purification or ELISA | Break points for protocols including incubation | Setting a timer in the program | Bottom touching the pipette after dispensing | Liquid level detection | Protocol optimization | Flowbot ONE software producing master mix and dispensing it into 96 well PCR plate | Glentevej 70A, 2400 Copenhagen, Denmark

#FORT | Nano Safety Controller

#Smart Robotic | Picking solutions

#Celeramotion | Precision Components | Mechatronic Assemblies

#DeekSeek AI | Highly disruptive Chinese artificial intelligence company | Fundamentally shifted global AI landscape by matching performance of top-tier Western models at fraction of cos | Founded by Liang Wenfeng as offshoot of quantitative hedge fund High-Flyer | Achieved international prominence in early 2025 with its reasoning models | Its operational thesis focuses on extreme computational token efficiency and open-weight architectures | Forced massive industry-wide reevaluation of infrastructure costs required to run frontier AI | Has rapidly iterated through architectural updates, moving past legacy checkpoints to support real-time token processing and complex logical workflows | DeepSeek-V4 (Flash & Pro): current flagship generation utilizing massive training datasets (up to 32 trillion tokens) while dramatically cutting inference costs down to pennies per million tokens | DeepSeek-R1: breakthrough reasoning model that heavily employs large-scale Reinforcement Learning (RL) processessing prompts using visible step-by-step thinking tokens (...) to solve advanced math, logic, and coding challenges | DeepSeek-Coder & VL: specialized foundational branches dedicated explicitly to software engineering automation and multimodal vision-language tasks | Competitive edge stems from highly optimized structural and training methodologies | DeepSeek faces severe international restrictions, including bans on government devices in nations like Australia | Data privacy hurdles: regulators in multiple regions, including Italy data protection authority, have actively suspended or heavily investigated platform over compliance and personal data handling concerns | Architecture lags slightly behind in abstract creative writing and complex, nuanced multimodal applications | DeepSeek R1 reasoning model solves complex problems by breaking them down into steps, engaging in thinking process | API for DeepSeek-V4-Flash has launched for public beta, with significantly enhanced agent capabilities

#Moley Robotics | London-based automation company | Developed the world first fully robotic kitchen system | Merges luxury kitchen interior design with advanced automation | Flagship product utilizes ceiling-mounted robotic arms with fully articulated, anthropomorphic hands to replicate exact cooking movements of professional chefs | System targets ultra-high-net-worth individuals and high-end commercial clients | Core Technology and Ecosystem is 3D Cooking Engine: platform operates via motion-capture technology | Moley films Michelin-starred chefs cooking recipes in 3D and converts their precise physical nuances—stirring, pouring, and temperature adjustments—into digital code | Developed in partnership with German robotics pioneer Schunk, anthropomorphic hands feature highly flexible, multi-jointed fingers operating custom-marked utensils, press appliance buttons, turn knobs, and open cabinets with human-like dexterity | Hardware integration: setup is built directly into premium custom cabinetry incorporating a smart induction hob, an smart refrigerator that tracks inventory, automated sink faucets, and a protective safety screen to isolate robot from humans | Digital interface: controlled via a 43-inch 4K touchscreen or a companion tablet, users can filter thousands of pre-loaded recipes by nutritional value, caloric restrictions, or cuisine types | Luxury consumer market: complete Moley R home installations range from £248,000 to over $335,000, pricing them similarly to high-end real estate features | A standalone Chef Table module starts at ca £60,000 | Robotic arms fully retract out of view into ceiling gantry, allowing homeowners to cook manually whenever they choose | Moley leverages its core technology to enter hospitality sector, tailoring automated kitchen lines for hotels and catering businesses to optimize portion control and minimize food waste | Unrivaled IP portfolio: Moley holds foundational global patents regarding structural integration, user interface, and physical kinematics of consumer-facing robotic kitchens | System measures ingredients via integrated digital scales down to sub-millisecond precision which ensures absolute consistency in flavor, texture, and nutritional output | Moley handles food processing, cooking, plating, and basic cleanup (wiping surfaces and utilizing steam) autonomously | Robot cannot efficiently peel complex vegetables, trim meats, or unwrap plastic groceries but users must place pre-cut, pre-measured ingredients into specialized containers before robot starts | Installation and maintenance: each kitchen requires a bespoke installation process lasting 4 to 6 weeks and if a mechanical component in complex multi-jointed hand fails, specialized servicing is mandatory | Moley serves as a technological benchmark for Smart Home Market, as component costs for collaborative robot arms decline, Moley plans a Tesla-style.market approach: capitalizing on ultra-luxury models to fund and engineer mainstream, mid-priced household variations

#Technical University of Munich | Learning Systems and Robotics Lab | Designing Robotic Systems and Their Interactions with Physical World | Srreamless interaction of robotic systems with physical world | Search robot developed can track missing objects in homes and dynamic environments by using language models together with three-dimensional mapping | Applying image understanding to a clearly defined task | Robot locates lost items on command | It combines internet knowledge with a spatial map of its surroundings to efficiently locate requested objects | System must first scan its surroundings and build a 3D map of room to locate items | System receives input from a laptop, which identifies which objects appear in image and determines their relevance to humans.Robot combines a 3D camera with a language model for its search | Such a fundamental level of understanding is necessary for humanoid robots in factories, as well as assistive or care robots working in private homes

#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

#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