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Oct 15Thu
  1. OFweek Robotics54

    Report: Liang Wenfeng in Talks with Robotics Companies; Can General-Purpose Models Replace Specialized Embodied Models?

    Reports say DeepSeek's Liang Wenfeng is in contact with several embodied AI startups and participated in Unitree Technology's IPO strategic placement (contributing about 141 million yuan), and plans to lead a funding round for Winverse AI. The article analyzes a new approach in which general-purpose large models drive agents to call robot tools: in RoboCurve tests, GPT-6 Astra succeeded 19 out of 20 times in a block-into-bowl task, but this approach still faces real-time issues such as API call costs and several-second response latency.

  2. NVIDIA · X22

    NVIDIA showcases ABB robot simulation within Nordic ecosystem

    Ahead of GTC Berlin, NVIDIA showcased the Nordic technology ecosystem: ABB Robotics helps engineers train and test robots in simulation, while Spotify improves podcast recommendation efficiency. Several startups adapt open-source models for tasks such as Swedish transcription and patent research, underpinned by computing investment and a community of researchers, entrepreneurs, and enterprises.

Oct 14Wed
  1. 36Kr Embodied Intelligence54

    Nvidia plans to announce an additional $2 billion investment in Europe within the next week

    Nvidia CEO Jensen Huang said at an event in Paris on Tuesday that the company plans to announce a $2 billion investment in Europe within the next week, an addition on top of the $8 billion Nvidia has already invested in Europe over the past year. He also announced new investments in French startups Doctolib, Genesis AI, Pigment, and Entalpic, and said he opposes slowing AI development, arguing that AI can develop safely and drive economic growth.

  2. NVIDIA57

    NVIDIA releases cuPotential and partners with multiple semiconductor companies to accelerate chip design and manufacturing with CUDA-X libraries

    NVIDIA announced the launch of cuPotential, a new CUDA-X library for developers to build AI agents that simulate atomic and molecular interactions. In early access testing, it delivered a further 2-3x speedup on already GPU-optimized workflows, and Synopsys is one of the early adopters.

Oct 13Tue
Oct 12Mon
  1. 古月居 · 微信公众号26

    ROSCon China 2026 NVIDIA Physical AI Full-Stack Robotics Workshop Preview

    ROSCon China 2026 will hold the NVIDIA Physical AI Full-Stack Robotics Workshop on October 17 from 13:30 to 17:00, led on site by NVIDIA technical experts. It will cover the Isaac GR00T end-to-end architecture, Isaac Lab 3.0 perception reinforcement learning and whole-body control training, Physical AI Agent skill development, Jetson on-device model inference acceleration and memory optimization, and an industrial deployment case study from Techmach.

Oct 8Thu
  1. Robotics 24/766

    Amazon releases open-source Physical AI Toolchain on AWS

    Amazon has released the open-source platform Physical AI Toolchain on AWS, integrating NVIDIA's physical AI stack and covering five stages: synthetic data generation, model training, simulation validation, edge deployment, and continuous improvement. Customers can adopt the whole platform or select components as needed, and use fleet management capabilities to manage thousands of machines via over-the-air updates. The platform's architecture guidance draws on Amazon's own experience operating more than 1 million robots, helping manufacturers launch physical AI capabilities within weeks.

  2. Ars Technica49

    Nvidia bets on physical AI: Halos expands from autonomous driving to robot safety

    Nvidia is expanding its Halos operating system from autonomous driving to robotics, allowing developers to customize safety features without disrupting the underlying architecture. The system continuously monitors hardware and software libraries; Holoscan Sensor Bridge can be embedded in microcontrollers or FPGAs to identify corrupted sensor data. It also includes virtual environment simulation and an inspection lab program, providing safety feedback for robot development.

Sep 30Wed
Sep 22Tue
  1. Noble Machines · X75

    NVIDIA Isaac ROS 5.0 released at ROSCon, open source and supporting Jetson Orin Nano through Thor

    NVIDIA released the open-source Isaac ROS 5.0 at ROSCon in Toronto, adding agentic workflows, Isaac Skills, ROS 2 Lyrical support, and GPU-accelerated libraries, with Jetson support spanning Orin Nano through Thor.

    Why it matters: This version update lists GPU-accelerated libraries and inference tools that can be adopted directly on Jetson edge platforms, giving readers a basis for weighing in-house development against adoption.

Sep 19Sat
Sep 15Tue
  2. Agility Robotics66

    Agility Robotics Releases Next-Generation Humanoid Robot Digit 5

    Agility Robotics has released Digit 5, a next-generation general-purpose humanoid robot built around a safety architecture that allows it to work in close proximity to people without traditional physical safety fencing. It uses an independent safety controller, AI-based human detection, and audiovisual cues, and is the first launch partner for the NVIDIA Halos for Robotics platform, built on NVIDIA IGX Thor.

    Why it matters: The official announcement details Digit 5's safety architecture, payload, battery life, and other specific upgrades, along with order background, giving readers insight into the product approach for humanoid robots working near people.

Sep 10Thu
  1. Skild AI79

    Skild AI annual recurring revenue tops $100 million, outlines deployment-first robotics strategy

    Skild AI announced that its annual recurring revenue (ARR) has surpassed $100 million, of which $50 million was confirmed within 10 months of starting deployments. It has more than 60 paying customers, covering material handling, delivery, inspection, security, food service, and warehouse, factory, and data center scenarios; about 90% of revenue comes from manipulation tasks, with mobility accounting for 10% (of which AMR solutions account for 4%).

    Why it matters: Beyond the company's self-reported revenue milestone, it also offers concrete lessons on how deployment in turn shapes model research, which is useful for understanding the relationship between real-world deployment and research.

Aug 31Mon
  1. Weekly Robotics47

    Weekly Robotics #374

    Weekly Robotics issue 374 coincides with the publication's 8th anniversary; highlights include Hello Robot Stretch 4 autonomous docking, the Microduck bipedal robot, and Gatik's $200 million funding round.

Aug 29Sat
  1. Noble Machines · X22

    Noble Machines' Moby featured on NVIDIA livestream

    @NVIDIARobotics hosted our co-founder and CEO Wei Ding on this week's livestream. Noble Machines' general-purpose robot Moby runs entirely on NVIDIA's robotics stack — trained with Isaac Sim and Isaac Lab, sim-to-real transfer via #IsaacGR00T, and onboard compute from #JetsonThor. Watch the replay to learn how the team developed Moby's software stack, plus a recent customer case for a global construction company: https://www.youtube.com/watch?v=Ixr5t-W6gJ0

Aug 21Fri
  1. ROBOTIS · X13

    ROBOTIS WRC 2026 booth opens

    The ROBOTIS booth B221 at WRC 2026 in Beijing is now open, with large crowds and a lively atmosphere on the first day of the show. NVIDIA's Madison Huang visited the booth and spent a long time carefully reviewing the on-site setup, and the two sides held in-depth discussions on expanding the humanoid robot ecosystem and establishing a strategic partnership.

Aug 18Tue
  1. Skild AI76

    Skild AI releases robot foundation model S1, achieving in-context learning through video demonstrations

    Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.

    Why it matters: The original article provides comparison figures for ICL and VLA at the same data scale and a deployment timeline, allowing readers to assess the feasibility of the in-context learning approach for manipulation tasks.

Aug 14Fri
Aug 8Sat
  1. LeadeRobot72

    AMD Bets on the Humanoid Robot Brain: Analysis of the Ryzen AI Embedded X100 Series and the Industry Landscape

    At its Advancing AI event, AMD introduced the Ryzen AI Embedded X100 series processors for humanoid robots, the Kria AI SOM modules, and the Robotics Software Suite, with sampling in June and mass production in Q4. The article's analysis holds that AMD's combination of x86 real-time control, unified memory, and FPGA targets industrial quasi-humanoid and dual-track supply chain scenarios; in the short term it is unlikely to shake Nvidia Thor's roughly 68% share of the high-end bipedal segment, and its opportunity lies in capturing the installed base of industrial PCs plus discrete GPUs and serving as a second supplier.

Jul 24Fri
  1. Agile Robots/思灵机器人61

    Agile Robots and Idealworks detail edge AI inference stack, running VLMs on Jetson AGX Xavier with custom TensorRT plugins

    Agile Robots and its subsidiary Idealworks describe their edge AI deployment stack since 2018, covering five layers: hardware, BSP, inference pipeline, inference framework, and quantization.

    Why it matters: Using their own Xavier deployment experience as an example, the authors present a reusable TensorRT plugin method for running VLMs on older hardware that peers can directly draw on.

Jul 16Thu
  1. Hitachi · X43

    Hitachi and Nvidia Deepen Collaboration to Advance Physical AI Autonomous Operations

    Hitachi CEO Toshiaki Tokunaga met with Nvidia CEO Jensen Huang in Tokyo, where the two sides will advance end-to-end autonomous operations in manufacturing and social infrastructure environments through integrated control of Physical AI. At the core are an open, sovereignty-enabling multi-agent orchestration platform and Hitachi's Physical AI FDE team: the platform aims to connect and orchestrate various facilities, equipment, systems, and AI agents, while the FDE team works with customers and partners to accelerate use-case exploration and solution development. The two sides will jointly build a global Physical AI ecosystem as HMAX continues to evolve and expand.

Jun 18Thu
  1. Ars Technica65

    Nvidia GEAR develops ENPIRE framework, enabling AI coding agents to autonomously train robots to cut zip ties and install GPUs

    Researchers at Nvidia GEAR lab, Carnegie Mellon University, and UC Berkeley developed an agent framework called ENPIRE that lets AI coding agents autonomously schedule and iterate robot training; the robots learned to cut zip ties and insert GPUs into narrow, thin slots on a motherboard.

Jun 2Tue
  1. Noble Machines · X18

    Moby appears in NVIDIA GTC keynote

    We are honored to be featured in the #NVIDIAGTC Taipei 2026 keynote alongside Founder and CEO Jensen Huang and robotics partners building the future of physical AI. 🤖 Prove value first, then scale. 🚀 👀 Watch Noble Machines Moby in the keynote replay 👉 https://www.youtube.com/live/wSp6AiNIrsY?t=6655s Join Noble Machines at #Automate2026 (link in the thread) to see a live demo of Moby. @NVIDIARobotics

Jun 1Mon
  2. Agile Robots/思灵机器人28

    Agile Robots gains early access to NVIDIA Cosmos 3 for physical AI simulation

    Agile Robots has obtained early access to NVIDIA Cosmos 3, with early simulation tests showing strong capabilities. The company will integrate Cosmos 3 for customers, offering new options for simulating, testing, training, and deploying physical AI, and is exploring the Cosmos-based NVIDIA Video Augmentation Skill for automated data curation, generation, and evaluation.

May 18Mon
May 13Wed
  1. Noble Machines51

    Noble Machines Breaks Down Its Industrial Autonomous Learning Stack: Whole-Body Control, Task-Level Learning, and Runtime Error Correction

    Noble Machines published an article introducing its three-layer robot learning stack for industrial autonomy, along with on-site test results from GTC 2026: over four days, the same model simultaneously drove multiple Moby robots to complete two autonomous tasks at the NVIDIA booth and its own booth.

Apr 16Thu
  1. HUMANOID62

    Siemens and Humanoid test HMND 01 humanoid robot for autonomous bin handling at German factory

    Siemens and Humanoid announced that Humanoid's HMND 01 wheeled Alpha humanoid robot has completed testing in logistics operations at Siemens' electronics factory in Erlangen, Germany, autonomously performing tasks to grasp, move, and place bins for operators.

    Why it matters: Specific capacity and success-rate metrics were disclosed, allowing readers to gauge the maturity of humanoid robots in real factory logistics operations.

Mar 24Tue
  1. Agile Robots/思灵机器人66

    Agile Robots and Google DeepMind announce strategic partnership to integrate Gemini Robotics models into industrial robots

    Agile Robots SE and Google DeepMind announced a strategic research partnership to combine the Gemini Robotics foundation models with Agile Robots' industrial robot platform and develop adaptable, reasoning-capable robots. The partnership initially focuses on industrial manufacturing scenarios where reliability and scale are critical, forming a data flywheel through deployment, data collection, model training, and iteration; Agile Robots says it has installed more than 20,000 robot solutions worldwide.

    Why it matters: The partnership focuses on industrial deployment and data feedback for training, giving readers insight into the path to real-world adoption when foundation models are connected with robot manufacturers.

  2. Berkeley AUTOLAB68

    CaP-X: Benchmarking and Improvement Framework for Robot Manipulation Coding Agents Released

    Teams including Berkeley AUTOLAB propose CaP-X, an open framework for systematically studying Code-as-Policy agents in robot manipulation, centered on the interactive environment CaP-Gym and CaP-Bench, which evaluates 12 frontier models.

    Why it matters: The original text presents a systematic evaluation framework for Code-as-Policy agents and the finding that test-time scaling can mitigate abstraction dependence, offering reference value for research on coding-agent manipulation control.

Mar 20Fri
  1. HUMANOID25

    Humanoid demos KinetIQ-powered voice multi-robot collaboration at NVIDIA GTC

    UK robotics company Humanoid gave a live demo at NVIDIA GTC of voice-driven multi-robot collaboration powered by KinetIQ: two wheeled robots with grippers responded to visitor voice commands in a simulated shop, picking up and placing water bottles and popcorn and completing a physical handoff between robots. KinetIQ's Fleet Management system parses commands, dynamically assigns tasks, and displays real-time execution status. The demo is based on NVIDIA's open-source robotics platform, and KinetIQ is its recently released end-to-end fleet orchestration framework.

Mar 19Thu
  1. Skild AI75

    Skild AI partners with ABB Robotics, Universal Robots, and NVIDIA to deploy Skild Brain

    Skild AI announced partnerships with ABB Robotics and Teradyne-owned Universal Robots and MiR to integrate its general-purpose model Skild Brain into industrial robots, eliminating task-by-task programming and using post-training fine-tuning with a small amount of task data.

    Why it matters: Skild AI describes its own partnership deployment approach with ABB, UR, and NVIDIA and assembly task details, letting readers understand how its general-purpose model enters production lines.

Mar 18Wed
  2. IntBot · X50

    IntBot runs NVIDIA Cosmos Reason-2 directly on the robot itself

    IntBot runs NVIDIA Cosmos Reason-2 directly on its own robots, without the cloud and with no round-trip latency. The author explains that when a stranger approaches, social signals won't wait, so only edge deployment lets the robot respond in time. Includes a Cosmos Cookbook recipe link: https://nvidia-cosmos.github.io/cosmos-cookbook/recipes/inference/reason2/intbot_edge_vlm/inference.html?h=edge .