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#Embodied AI
TodayOct 8Thu27 items
  1. Pandaily22

    Micbot Settles Robot-Dog Delivery Dispute With Zhejiang Buyer After Delays and Development-Rights Clash

    Micbot says a procurement dispute with a Zhejiang customer over four wheeled-quadruped robots has been settled through negotiation, after reports of late P2 deliveries, a balance fault in a Curiosity S01 and a disagreement over secondary-development rights. The buyer, which ordered two P2 units for 580,000 yuan and later two S01 units at 160,000 yuan each, had refused research-only terms for software access. Micbot's October 6 statement said it supports customer secondary development but requires clear authorization and protection of core technology.

  2. Pandaily44

    Donghua University Spins Transistors Into Fibers That Act as Soft Robot Circuits

    Donghua University researchers spun transistors, resistors and capacitors into a continuous fiber that functions as a circuit, using microfluidic encoded spinning, according to a Nature Electronics paper. The fibers integrated multicolor electroluminescence, analog and digital logic, and non-contact spatial sensing, and in demonstrations guided a robotic gripper and let a finger control a robotic arm and drone without touch.

  3. 雷峰网 Leiphone46

    IROS 2026 papers show AI reintegrating with classical robotics rather than replacing it

    Of 1,933 IROS 2026 papers, Robot Learning/Embodied AI appears in about 809, while Navigation/Planning covers 564 and Perception/Vision 556. The article argues large models are being embedded into traditional planning, geometry, and control rather than replacing them. Vision-language-action models are shifting toward efficiency, 3D understanding, memory, and system integration.

  4. 雷峰网 Leiphone54

    Simplexity Robotics uses robots to tend CNC lathes at 0.5 mm tolerance

    At IROS 2026, Simplexity Robotics presented a robot that autonomously tends two CNC machines, grasping workpieces, loading them into chucks, and placing finished parts, with 0.5 mm clearance. The system was trained on only 600 real robot trajectories, using the SimpleWAM world action model, DRAM recurrent memory, and DPE candidate action scoring. The talk was reported as an edited transcript from the conference presentation.

  5. 雷峰网 Leiphone38

    BASAL Intelligence, founded by Tsinghua AIR PhD graduate Li Jianxiong, bets on action-native embodied models

    BASAL Intelligence (本溯智能), founded by Tsinghua AIR's first PhD graduate Li Jianxiong, has raised funding led by Fifth Source Capital, with Ivy Capital, Linear Capital and WestSummit Capital participating. The company is pursuing an action-native, in-context embodied foundation model that lets robots adapt to new scenes in minutes from a few human demonstrations and self-attempts, rather than retraining.

  7. Kylie Robison4

    hello loyal followers. Some of you must be robotics nerds, or know a robotics nerd. If you or a loved one are interested in humanoids or any other roving electronic, please DM/reply a startup + hobbyist you find particularly interesting!!!

    hello loyal followers. Some of you must be robotics nerds, or know a robotics nerd. If you or a loved one are interested in humanoids or any other roving electronic, please DM/reply a startup + hobbyist you find particularly interesting!!!

  8. NVIDIA Newsroom46

    Developers Use Frontier AI Agents to Build NVIDIA Omniverse Simulations

    NVIDIA developers are pairing frontier AI models, including GPT-6 Astra and Claude Fable 5, with Omniverse libraries to turn simulation ideas into working applications. Examples include a humanoid warehouse simulator, an autonomous-driving testing workflow, and sensor-matching digital twins. The projects are guided through natural-language instructions and reviewed by developers.

  9. NVIDIA Blog49

    How Developers Use Frontier AI Agents to Build Omniverse Simulations

    Developers are pairing frontier AI models with NVIDIA Omniverse libraries to turn simulation ideas into working applications, from humanoid warehouse simulators to autonomous-driving test environments. In the examples, developers direct AI agents through natural-language instructions and review results, while Omniverse provides GPU-accelerated physics, rendering and sensor simulation. One experiment reported a simulated Unitree G1 humanoid clearing a hurdle in 64 of 100 trials.

  10. NVIDIA Technical Blog26

    How to create SimReady robotics assets from CAD with frontier AI models

    NVIDIA's Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting CAD assets to OpenUSD for robotics simulation. The workflow covers configuring and validating materials, collision geometry, joints, and other physics properties before testing robot behavior.

  11. The Verge · AI39

    California regulators order robot-versus-human fight startup Rek to stop matches

    The California State Athletic Commission sent a cease-and-desist letter to startup Rek over a September 18 match pitting a human against a humanoid robot piloted remotely. The letter, posted by Rek CEO Cix Liv, calls the fight unsanctioned and demands that Rek stop promoting human-involved contests in California without approval. Rek's next planned match on Friday will feature two weaponized robots fighting each other.

  12. Alex Heath38

    Qualcomm CEO Cristiano Amon on AI phones, glasses, and 6G

    Qualcomm CEO Cristiano Amon discusses the coming AI smartphone supercycle, arguing phones will not disappear as agents use personal context. He also expects smart glasses to become the largest AI wearable category, and covers Qualcomm's Modular acquisition as an alternative to Nvidia's CUDA software and its data center strategy. The conversation, recorded live at the Snapdragon Summit in Hawaii, also covers 6G being designed for AI.

  14. Elvis Saravia42

    Huge release from @odysseyml. Odyssey-3 Pro sets a new top score on Physics-IQ Verified, a benchmark that asks models to continue videos of real physics experiments. The robotics results stood out to me. With tens of hours of demos, the robot arm recovered from a missed grasp, a behavior that never appeared in those demos.

    Huge release from @odysseyml. Odyssey-3 Pro sets a new top score on Physics-IQ Verified, a benchmark that asks models to continue videos of real physics experiments. The robotics results stood out to me. With tens of hours of demos, the robot arm recovered from a missed grasp, a behavior that never appeared in those demos.

  17. Santiago46

    The #1 video-to-video model in the Physics-IQ Verified benchmark is finally live! (Their research preview is) Odyssey 3 Pro is a world model, and nobody beats it for physical accuracy. You can use this model to control a robot, drive a car, play a video game, or pilot a drone. • It takes visual observations from the world • Uses these observations to learn how things work • Then maps that knowledge to the system's physical controls

    The #1 video-to-video model in the Physics-IQ Verified benchmark is finally live! (Their research preview is) Odyssey 3 Pro is a world model, and nobody beats it for physical accuracy. You can use this model to control a robot, drive a car, play a video game, or pilot a drone. • It takes visual observations from the world • Uses these observations to learn how things work • Then maps that knowledge to the system's physical controls

  18. Odyssey34

    Odyssey-3’s learned world knowledge can also be applied to physical systems, enabling physical AI developers to adapt Odyssey-3 to control robots, power humanoids, drive cars, fly drones, and other autonomous machines.

    Odyssey-3’s learned world knowledge can also be applied to physical systems, enabling physical AI developers to adapt Odyssey-3 to control robots, power humanoids, drive cars, fly drones, and other autonomous machines.

  19. The Robot Report34

    Jabil Says Humanoid Robots Are Moving Toward Tens-of-Thousands Production Volumes

    Jabil senior director Thomas Brown says humanoid robots are entering a phase of tens of thousands of units, where manufacturability, cost structure, and quality become central. He says Jabil works with developers to cut costs for scale, while compute and memory prices remain a pain point, and that humanoids make sense in factories and warehouses while mobile arms still suit high-speed tasks.

  21. Generalist14

    Other tasks our models can do: https://www.youtube.com/playlist?list=PLIv5TE4TO-ZgiMiHpD5ZSiJVLa9I6557R Read more about GEN-1.5, our latest foundation model for the physical world: https://generalistai.com/blog/gen-1.5

    Other tasks our models can do: https://www.youtube.com/playlist?list=PLIv5TE4TO-ZgiMiHpD5ZSiJVLa9I6557R Read more about GEN-1.5, our latest foundation model for the physical world: https://generalistai.com/blog/gen-1.5

  22. The Robot Report42

    AWS launches open-source Physical AI Toolchain combining its services with NVIDIA's stack

    Amazon Web Services launched an open-source Physical AI Toolchain that combines AWS services with NVIDIA's Physical AI software to cover data generation, model training, simulation, edge deployment, and continuous improvement for robots. AWS uses Amazon SageMaker for training and AWS IoT Greengrass for distributing models to edge devices, while NVIDIA contributes Isaac Sim, Isaac Lab, Isaac GR00T, and Cosmos. The toolchain is hardware-neutral and does not directly replace RoboMaker, which was shut down in 2025.

  23. 量子位 QbitAI34

    正行创新 launches Physical AI retail solution with H1 humanoid and C1 wheeled robot

    正行创新 unveiled a Physical AI solution for 24/7 convenience stores at APRCE 2026, combining the H1 bipedal humanoid and C1 wheeled-arm robot with the M1 management platform. The company says the system needs no store renovation, reports 99% autonomous task completion, and plans commercial service in 2027 via direct purchase or RaaS subscription.

  24. Ars Technica · AI38

    Nvidia's Halos safety platform extends from robotaxis to humanoid and warehouse robots

    Nvidia's Halos software platform, originally built for autonomous vehicles, has been adapted for robotics, according to Ars Technica. The system monitors hardware and software for failures, isolates safety-critical workloads, and includes simulation tools and an inspection lab for robotics developers. Because safety requirements vary widely between a robotic vacuum and a warehouse forklift, Nvidia made the platform programmable so developers can define custom safety functions.

  25. MIT Technology Review · AI44

    AI advances won't quickly make robots useful in everyday life, researchers say

    Researchers at robotics labs say that AI advances behind chatbots like ChatGPT and Claude will not quickly produce robots that are useful in everyday life. Many skeptics argue that using language- and image-based intelligence to master the physical world is far harder than it sounds, despite bold predictions from Elon Musk about Tesla's Optimus. Progress is real but incremental, as shown by Google DeepMind's Gemini Robotics controlling ALOHA 2 arms to pack a lunchbox.

  27. Pandaily46

    Galbot and Tsinghua's LATENT Wins IROS Award for Humanoid Tennis Forehand

    A Galbot, Tsinghua University and collaborators paper won IROS 2026's Best Entertainment and Amusement Paper Award for LATENT, a humanoid tennis-return method trained on imperfect amateur motion-capture clips. In simulation, the full forehand policy succeeded on 96.52 percent of returns, versus 71.85 percent for PULSE. On a real Unitree G1, the paper reports 90.90 percent forehand success across 20 consecutive rallies, with motion capture still used rather than the robot's own cameras.

Oct 7Wed
  1. Pandaily42

    UBTECH and FAW-Volkswagen Extend Humanoid Robots to Factory Logistics

    UBTECH Robotics and FAW-Volkswagen signed a strategic cooperation agreement to jointly develop and test embodied AI robot applications in logistics and build demonstration sites. The partnership builds on UBTECH's Walker S Lite humanoid, already doing vehicle quality-inspection training at FAW-Volkswagen's Qingdao Branch, a national-level smart manufacturing demonstration factory. The companies aim to speed up humanoid deployment in smart manufacturing.

  3. Lucas Beyer38

    Another cool update from the robotics world! While we're all wow-ed in mental land, there's a ton of progress and i feel like acceleration happening in physical land too now. My guess is in good part also (but not only) thanks to the coding models progress over the last year.

    Another cool update from the robotics world! While we're all wow-ed in mental land, there's a ton of progress and i feel like acceleration happening in physical land too now. My guess is in good part also (but not only) thanks to the coding models progress over the last year.

  5. Liquid AI30

    We built 10 live-camera demos for d1-3B, from gesture-controlled games to content moderation, with one forward pass per frame. In collaboration with @NVIDIARobotics, we also show d1-3B navigating an environment in Isaac Sim, with the model served on a Jetson in a hardware-in-the-loop setup. 5/

    We built 10 live-camera demos for d1-3B, from gesture-controlled games to content moderation, with one forward pass per frame. In collaboration with @NVIDIARobotics, we also show d1-3B navigating an environment in Isaac Sim, with the model served on a Jetson in a hardware-in-the-loop setup. 5/

  6. Jim Fan12

    It is increasingly clear that humanity will solve the Riemann hypothesis before we pass the Physical Turing Test - you come back to a clean home after a wild Sunday party, and you can't tell whether a human or a robot did the job. We are not Moravec's paradox-pilled enough.

    It is increasingly clear that humanity will solve the Riemann hypothesis before we pass the Physical Turing Test - you come back to a clean home after a wild Sunday party, and you can't tell whether a human or a robot did the job. We are not Moravec's paradox-pilled enough.

  7. IEEE Spectrum · AI32

    HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction

    HiPHI is a 617.5-hour whole-body human motion dataset captured with optical motion capture at sub-millimeter accuracy, including 245.7 hours of human-object interaction with synchronized object trajectories and meshes. The dataset organizes coverage using FrameNet, a linguistic framework for human action. The white paper also reports results from policies trained on HiPHI and deployed on a physical Unitree G1 humanoid robot.

Oct 6Tue
  2. Generalist14

    Other tasks our models can do: https://www.youtube.com/playlist?list=PLIv5TE4TO-ZgiMiHpD5ZSiJVLa9I6557R Read more about GEN-1.5, our latest foundation model for the physical world: https://generalistai.com/blog/gen-1.5

    Other tasks our models can do: https://www.youtube.com/playlist?list=PLIv5TE4TO-ZgiMiHpD5ZSiJVLa9I6557R Read more about GEN-1.5, our latest foundation model for the physical world: https://generalistai.com/blog/gen-1.5

  3. Generalist28

    Robot puts a ring on it GEN-1.5 puts an O-ring on a hydraulic rod gland, then takes the ring off, then puts the ring back on, then takes the ring off, then ring on, ring off, ring on... Read more about GEN-1.5 in our blog post in the comments below.

    Robot puts a ring on it GEN-1.5 puts an O-ring on a hydraulic rod gland, then takes the ring off, then puts the ring back on, then takes the ring off, then ring on, ring off, ring on... Read more about GEN-1.5 in our blog post in the comments below.

Oct 2Fri
  1. Runway23

    Paril Jain, co-founder and CTO of The Bot Company, and Quan Vuong, co-founder of Physical Intelligence met on the Runway AI Summit stage to talk real-world evals, deploying robots in the field and where robotics will be in three years.

    Paril Jain, co-founder and CTO of The Bot Company, and Quan Vuong, co-founder of Physical Intelligence met on the Runway AI Summit stage to talk real-world evals, deploying robots in the field and where robotics will be in three years.

Oct 1Thu
  1. Odyssey30

    Today we’re introducing PROWL-2, where agents and their world model improve through recursive learning. Agents expose errors in imagination, and repairing those errors enables further learning. We believe this open-ended learning is a critical step towards superintelligence.

    Today we’re introducing PROWL-2, where agents and their world model improve through recursive learning. Agents expose errors in imagination, and repairing those errors enables further learning. We believe this open-ended learning is a critical step towards superintelligence.

Sep 30Wed