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Today 3 records
Today2026-10-04Sun
2026-10-03Sat
  3. High-tech Robotics — WeChat85

    A 2-Year-Old Embodied Intelligence Company Founded by Fei-Fei Li Sells for 55 Billion Yuan; Midea Group Plans to Acquire Welding Subsidiary for 6.64 Billion Yuan | Major Capital Events of the Week

    The article reports on major capital events in the recent robotics and embodied intelligence sectors, including AMD's acquisition of WorldLabs, a company co-founded by Fei-Fei Li, for approximately 55 billion yuan, Midea Group's plan to acquire a welding subsidiary for 6.64 billion yuan, and several robotics companies such as Benmo Technology, Huanchuang Technology, and Juxi Intelligent completing financing or going public. Additionally, multiple embodied intelligence products and solutions have been launched, covering humanoid robots, service robots, flexible electronic skin, tactile perception systems, and more, showcasing the industry's rapid progress in technology, capital, and application scenarios.

2026-10-02Fri
  2. arXiv Robotics — research abstracts61

    IndoorBEV: A Lightweight Real-Time LiDAR BEV Perception System for Indoor Mobile Robots

    IndoorBEV is a lightweight LiDAR perception framework that addresses the challenge of efficient indoor perception by integrating height-aware BEV representations and geometry-conditioned feature fusion. It achieves 0.6M parameters, 2.3 MB storage, and 169.6 ms latency on an NVIDIA AGX Orin, with a 1.8% deadline miss ratio.

2026-09-30Wed
  1. arXiv Robotics — research abstracts62

    DORA: Divergence-Oriented Data-Relay Algorithm for Partially Connected Robot Teams

    This research presents DORA, a divergence-oriented data-relay algorithm that enhances communication in partially connected UAV teams by prioritizing the value of information to the team. The algorithm quantifies mission-relevant divergence between a robot's information state and its teammates' knowledge, improving MRT resolution delay by up to 74.8% over traditional methods.

  3. arXiv Robotics — research abstracts63

    SkillWeaver: Agentic Exploration over Neural Interaction Skills for Scalable Robot Data Generation

    SkillWeaver is a framework that autonomously generates robot experience by exploring over Neural Interaction Skills (NIS), which are reusable, parameterized, closed-loop policies. It enables the agent to discover successful long-horizon behaviors through verifier-guided tree search, improving generalization across novel objects, tasks, and environments.

  5. Sergey Levine65

    Sergey Levine participated in a 36-hour hackathon where an unreleased checkpoint of π0.7 was used to control an excavator, achieving second place. The policy, trained with about an hour of embodied data, enabled continuous dirt movement with a single prompt. The team also added a Nerf gun for safety, showcasing the practical application of AI in robotics.

    Quoted postsimon@nautsimon_

    Over the weekend, I put an unreleased checkpoint of π0.7 inside an excavator and placed 2nd at the @ActorLabs + @physical_int 36hr hackathon. With about an hour of embodied data (3 cameras and joystick values, no joint angles), the policy could continuously move dirt with a single prompt. This was so straightforward to get working (pi is cooking) we spent the rest of the hackathon mounting a Nerf minigun on the roof. We added a people searching/tracking + firing feature to prevent people from getting too close to the dangerous machinery (ai safety feature). Here’s how we built it + more details (data collection, hardware hax, sim2real, video of me getting shot)🧵

  6. Science Robotics — Journal metadata63

    ALBATROSS: A bioinspired, aerially deployable, autonomous sailing sensor platform

    ALBATROSS is a hybrid bioinspired robot that passively autorotates for soft water landing and transitions into a wind-driven sailboat. It uses dual-function rigid wingsails and a biomimetic rudder for propulsion and maneuvering. The design integrates minimal actuation and passive dynamics, validated through wind tunnel testing and field experiments.

2026-09-29Tue
  1. Andrew Kang62

    Andrew Kang from X Robotics announces the release of Dyna-2.1, the first Physical Agent capable of reliable super long-horizon whole-body autonomy. The system combines new semi-humanoid hardware with an agentic framework to handle ultra-long real-world workflows, demonstrated through an hour-long laundry room task.

    Quoted postDyna Robotics@DynaRobotics

    We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows. Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.

2026-09-28Mon
  1. Fei-Fei Li15

    **Summary:** Fei-Fei Li, co-founder of World Labs, announced the company's partnership with AMD, emphasizing its focus on spatial intelligence and robotics simulation. World Labs, founded in 2024, aims to solve critical challenges in AI by developing models that reason over the physical world. The company has released Atlas, an omni-model architecture that predicts new camera views from 2D images, outperforming state-of-the-art results. The acquisition of SceniX is part of World Labs' strategy to build industry-leading robotics simulation capabilities.

  2. Yuke Zhu22

    **Summary:** Yuke Zhu presents key insights from an ICRA'26 keynote, emphasizing the rapid progress in building human-like machines, the scalability of human data for training robot foundation models, and the role of world models in enabling policy generalization. The talk highlights NVIDIA's work on projects like GR00T, EgoScale, SONIC, and WAM, including a demo of a model learning to assemble the YCB airplane with zero teleoperation data. The discussion underscores ongoing advancements in embodied AI and robotics.

  3. Eric Jang15

    If you're a robotics researcher working with GPT 6 Astra to do interesting things with robotic control or agentic real2sim, and would like access to open source models (Kimi K3, Qwen 3.8 Flash Next) as a comparison, please DM me! I'd love to provide you with free access to tokens to help you benchmark the agentic capabilities of these open models, and would be super eager to see what you can do with open source models in this domain.

2026-09-23Wed
  1. Animesh Garg85

    FLUX 3 Action is an open-source 7B parameter world action model that achieves first place on the RoboLab benchmark. It outperforms previous models by 6.1 percentage points with 56% fewer parameters and runs 3.95x faster. The model supports fine-tuning for specific robots and tasks and is integrated into LeRobot with deployment on NVIDIA Jetson.

    Quoted postBlack Forest Labs@bfl_ai

    Introducing FLUX 3 Action. An open weights 7B World Action Model that achieves first place on the RoboLab benchmark. It outperforms the previous best open model by 6.1 percentage points while using 56% fewer parameters and running up to 3.95x faster.⁠⁠ FLUX 3 Action removes the usual trade-off between world action model performance and VLA speed: it still predicts video and actions together, but plans more than twice as far ahead and runs faster per second of robot motion than the strongest open VLA. Teams can fine-tune FLUX 3 Action on their own demonstrations to create policies for a particular robot and task. Together with @nvidia, we also integrated FLUX 3 Action natively into @huggingface's LeRobot, with fine-tuning recipes included and edge deployment on NVIDIA Jetson. Beyond robotics, we’re also seeing promising results training task-specific policies for acting in simulated environments like gaming, controlling a vehicle, computer use, and wherever else a model needs to understand a visual environment and then choose what to do next. FLUX 3 Action builds on the same image, video, and audio pretraining as FLUX 3, but uses a smaller architecture designed for practical deployment. In midtraining, we trained the model to predict actions and future frames together. We’re releasing the weights, code, fine-tuning recipe, benchmarks, and reproducible examples so researchers and developers can build on the model with their own robots, environments, and tasks (see below).

    Editorial context：FLUX 3 Action is a 7B parameter world action model that achieves state-of-the-art performance on the RoboLab benchmark, outperforming previous models with fewer parameters and faster inference. It integrates action prediction with video generation and supports fine-tuning for specific robots and tasks.

  2. Robohub85

    Robotics Roadmaps from Around the World: Spotlight of the Month - China

    China is pursuing a strategic roadmap through its Five-Year Plans to dominate the global robotics industry, focusing on embodied AI and humanoid robotics. The 13th and 14th FYPs laid the foundation for industrial automation, while the 15th FYP emphasizes embodied intelligence, with state support for R&D and mass deployment of humanoids. Despite achievements in market share and production scale, challenges remain in precision hardware and semiconductor self-sufficiency, with risks of overcapacity and market volatility.

    Editorial context：This analysis provides a detailed overview of China's strategic approach to robotics through its Five-Year Plans, highlighting the shift from industrial automation to embodied AI and the challenges in achieving self-sufficiency in critical components. It emphasizes the role of state coordination, domestic manufacturing capabilities, and the risks associated with the rapid expansion of humanoid机器人.

2026-09-22Tue
  1. Pulkit Agrawal15

    Policy learning is not just about learning :)... a lot depends on the physical manifestation underlying what is learned. Uncover things that matter to make robots work!

    Quoted postYounghyo Park@younghyo_park

    Robot-learning folks: have you ever found that a seemingly minor system choice beneath the policy—controller tuning, hardware selection, or inference infrastructure—made a much bigger difference to your robot’s performance than an architecture or algorithm tweak? How do you usually isolate and report that effect? That’s the question behind our Workshop on Everything Beneath the Policy at #CoRL2026.

  2. Sergey Levine23

    How do we run RL with real-time chunking (RTC)? In this work we figured out how to use a small RL policy with a large robot foundation model, where the RL policy observed more recent images (due to faster inference) and steers the policy toward better behaviors! A fun collaboration with Siemens, led by Brian Zhu, Momen Khalil, Emanuele Poggi from Siemens and @ehharrison4 from Berkeley, with lots of amazing contributors!

    Quoted postE Harrison@ehharrison4

    Asynchronous VLA inference reduces inference delay, but breaks the Markovian assumption necessary for RL fine-tuning. How can we enable RL fine-tuning of VLAs with async inference? We introduce ARLI: Asynchronous RL with Intermediate Information! https://async-rl-intermediate-information.github.io/ (1/n)

2026-09-21Mon
  1. Agility15

    Safety engineered across the full lifecycle — not a final check before deployment — is what turns humanoids from demos into deployments. Glad to be building on this with @NVIDIARobotics.

    Quoted postNVIDIA Robotics@NVIDIARobotics

    Physical AI can only scale as fast as safety scales with it. 🦺 Lessons from more than a decade of autonomous vehicle safety work are helping shape how robots are designed, validated and deployed alongside people. Learn how NVIDIA Halos is helping: https://nvda.ws/4rlylLn

2026-09-15Tue
2026-09-10Thu
2026-09-09Wed
  1. Robohub88

    Robotics Roadmaps from Around the World: Spotlight of the Month – United States of America

    U.S. robotics researchers and industry leaders are seeking a cohesive national strategy to sustain innovation, enhance domestic production, and address supply chain vulnerabilities. The article explores the role of federal funding, private investment, and emerging legislation in shaping the U.S. robotics landscape, while also highlighting challenges in domestic manufacturing and the geopolitical implications of robotics technology.

    Editorial context：This article highlights the U.S. robotics industry's growing focus on national strategy, emphasizing the need for coordinated government, industry, and academic efforts to maintain technological leadership and secure domestic manufacturing capabilities. It outlines the role of federal agencies, private investment, and emerging legislative initiatives in shaping the future of robotics in the U.S.

2026-08-06Thu
  1. NVIDIA — Robotics88

    Into the Omniverse: How Open World Models Push the Frontier of Physical AI

    NVIDIA introduces Cosmos 3, an open-world model family for physical AI, combining vision reasoning, world generation, and action prediction. Available under the Linux Foundation’s OpenMDW 1.1 license, it enables post-training and adaptation for robotics, autonomous vehicles, and vision AI systems. The model ranks highly in benchmark evaluations and is part of NVIDIA’s broader physical AI stack.

    Editorial context：NVIDIA introduces Cosmos 3, an open-world model family for physical AI, emphasizing its role in generating synthetic data, simulating future states, and enabling specialization for robotics, autonomous vehicles, and vision AI systems. The model is available under the Linux Foundation’s OpenMDW 1.1 license, supporting post-training and adaptation.

2026-07-22Wed
  1. NVIDIA — Robotics85

    NVIDIA Open Sources First GPU-Accelerated Medical Physics Simulation Framework

    NVIDIA has released an open-source, GPU-accelerated Medical Physics Simulation framework as part of its Isaac for Healthcare platform. This tool enables developers to model anatomy-device interactions, generate complex scenarios, and train robot policies in simulation, significantly reducing development time and improving regulatory readiness.

    Editorial context：NVIDIA's open-source Medical Physics Simulation framework integrates classical physics and generative AI to enable realistic medical robotics training, offering scalable simulation environments for anatomical and device interactions.

2026-07-07Tue
  1. NVIDIA — Robotics85

    NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

    NVIDIA and Hugging Face are releasing the NVIDIA Isaac GR00T 1.7 model and Isaac Teleop framework into LeRobot, an open-source robotics library, to provide developers with shared tools for training, evaluating, and deploying robot foundation models. NVIDIA Cosmos 3, a frontier world model for physical AI, is also set to be integrated soon.

    Editorial context：NVIDIA and Hugging Face are collaborating to integrate advanced models and frameworks into LeRobot, an open-source robotics library, to streamline end-to-end robot development and foster community innovation.

2026-04-21Tue
2025-07-15Tue
2025-06-11Wed
  1. Hugging Face — Robotics83

    Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm

    NVIDIA has released the GR00T N1.5 model, a cross-embodiment foundation model for generalized humanoid robot reasoning and skills. The model can be fine-tuned using teleoperation data from a SO-101 arm, with a detailed tutorial provided for developers. The release includes instructions for dataset preparation, fine-tuning, evaluation, and deployment.

    Editorial context：NVIDIA's GR00T N1.5 is a cross-embodiment model for generalized humanoid robot reasoning and skills, adaptable through post-training for specific tasks and environments. The release includes a step-by-step tutorial for fine-tuning using teleoperation data from a SO-101 arm, emphasizing the use of the EmbodimentTag system for customization.