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Help measure progress in robotics research: a specific & verifiable physical benchmark for cable routing, part of a broader ManipulationNet effort by Kaiyu Hang (Rice U) and Kenny Kimble (NIST) and others from MIT, Berkeley, CMU, Columbia, UT, Tsinghua...

Ken Goldberg

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16,008 views • 6 months ago •via X (Twitter)

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This week I chaired a Research & Technology Subcommittee hearing on strengthening U.S. leadership in robotics and the rise of “physical AI.” Robotics is already transforming industries such as manufacturing, healthcare, and logistics, but China and others are investing aggressively while the U.S. still lacks a national strategy. My bipartisan National Commission on Robotics Act will help ensure America stays competitive and turn innovation into real world results for our workforce and economy.

This week I chaired a Research & Technology Subcommittee hearing on strengthening U.S. leadership in robotics and the rise of “physical AI.” Robotics is already transforming industries such as manufacturing, healthcare, and logistics, but China and others are investing aggressively while the U.S. still lacks a national strategy. My bipartisan National Commission on Robotics Act will help ensure America stays competitive and turn innovation into real world results for our workforce and economy.

Rep. Jay Obernolte

11,164 views • 4 months ago

For robotics researchers, evaluation can be the slowest part of their research loop. Manifold makes it the fastest. Introducing Manifold. The platform for accelerating robotics research with failure analysis that explains itself. A month of experiments in a week. Simulate a thousand scenarios in 30 minutes. Dense labels on every atomic sub-goal and action. Agents that cluster failure modes across every rollout. The robotics research loop that moves at the speed of compute. One eval harness for every benchmark, simulator, or world model. Native support for NVIDIA’s Isaac Lab Arena.

For robotics researchers, evaluation can be the slowest part of their research loop. Manifold makes it the fastest. Introducing Manifold. The platform for accelerating robotics research with failure analysis that explains itself. A month of experiments in a week. Simulate a thousand scenarios in 30 minutes. Dense labels on every atomic sub-goal and action. Agents that cluster failure modes across every rollout. The robotics research loop that moves at the speed of compute. One eval harness for every benchmark, simulator, or world model. Native support for NVIDIA’s Isaac Lab Arena.

skara

21,401 views • 12 days ago

Luma’s mission is to make 3D creation accessible to all. We believe that neural rendering will be a significant piece of this puzzle. Sparked by NeRF and follow-up papers – including works from the now Luma research team members – neural rendering has become an incredibly productive field of research! To further accelerate the rate of advancement and help the research community grow and build, today we are excited to sponsor nerfstudio along with the Berkeley AI Research Lab (Berkeley AI Research), led by Professor Angjoo Kanazawa (Angjoo Kanazawa). Nerfstudio is a collaboration-friendly project that has greatly benefited NeRF research by providing a well-built codebase to experiment with and try new ideas in, and we are proud to be a part of this effort. 3D creation is about to change, deeply. It’s time for new ideas, weird ideas, cool ideas. Open source and product-driven research are both crucial to realize this huge vision. Join us at Luma or contribute to Nerfstudio to help us build this future!

Luma’s mission is to make 3D creation accessible to all. We believe that neural rendering will be a significant piece of this puzzle. Sparked by NeRF and follow-up papers – including works from the now Luma research team members – neural rendering has become an incredibly productive field of research! To further accelerate the rate of advancement and help the research community grow and build, today we are excited to sponsor nerfstudio along with the Berkeley AI Research Lab (Berkeley AI Research), led by Professor Angjoo Kanazawa (Angjoo Kanazawa). Nerfstudio is a collaboration-friendly project that has greatly benefited NeRF research by providing a well-built codebase to experiment with and try new ideas in, and we are proud to be a part of this effort. 3D creation is about to change, deeply. It’s time for new ideas, weird ideas, cool ideas. Open source and product-driven research are both crucial to realize this huge vision. Join us at Luma or contribute to Nerfstudio to help us build this future!

Luma AI

55,591 views • 3 years ago

Been looking into RICE AI ( ◉ - ◉ ) lately, and it’s one of the few projects actually tackling a real challenge in robotics and AGI: the lack of high-quality training data. Robots can’t get truly intelligent without it. They building a decentralized way to collect and share robotics data, using a DePIN network to train physical AI foundation models. The project was even hand-picked by CZ as a winner of the Dubai BNB Chain Demo Day, and it’s backed by Floki while also being part of the NVIDIA Inception Program. They also launched FLOKI Minibot M1 - a small AI companion that doubles as a data node. Every interaction with it feeds the RICE AI Foundry, the first decentralized platform for Robotics Foundation Models, and contributors earn $RICE tokens in return. And it’s working: – 800 minibots sold in 24h – 33,000% oversubscribed Binance IDO – 500+ robots already deployed worldwide Feels like a project with real long-term potential. Worth keeping an eye on. RICE AI ( ◉ - ◉ )

Been looking into RICE AI ( ◉ - ◉ ) lately, and it’s one of the few projects actually tackling a real challenge in robotics and AGI: the lack of high-quality training data. Robots can’t get truly intelligent without it. They building a decentralized way to collect and share robotics data, using a DePIN network to train physical AI foundation models. The project was even hand-picked by CZ as a winner of the Dubai BNB Chain Demo Day, and it’s backed by Floki while also being part of the NVIDIA Inception Program. They also launched FLOKI Minibot M1 - a small AI companion that doubles as a data node. Every interaction with it feeds the RICE AI Foundry, the first decentralized platform for Robotics Foundation Models, and contributors earn $RICE tokens in return. And it’s working: – 800 minibots sold in 24h – 33,000% oversubscribed Binance IDO – 500+ robots already deployed worldwide Feels like a project with real long-term potential. Worth keeping an eye on. RICE AI ( ◉ - ◉ )

Christiaan

12,696 views • 11 months ago

A Ukrainian 🇺🇦 FP-5 missile struck the VNIIR-Progress facility specializing in the production and research of advanced electronic warfare systems for the Russia The facility is located in Cheboksary, Russia ~930km from Ukraine and was hit by a Flamingo for the first time tonight

A Ukrainian 🇺🇦 FP-5 missile struck the VNIIR-Progress facility specializing in the production and research of advanced electronic warfare systems for the Russia The facility is located in Cheboksary, Russia ~930km from Ukraine and was hit by a Flamingo for the first time tonight

Ukraine Battle Map

34,737 views • 3 months ago

Train robots. Earn rewards. Base is pioneering the Train-to-Earn model for robotics. With Axis Robotics, anyone can help train robot simulations from a laptop and be rewarded for contributing data. The future of robotics won’t be trained by a handful of companies. It’ll be trained by everyone. PL 漂亮 (✱,✱) showcased this vision at SuperAI, the largest AI event in Asia 👇

Train robots. Earn rewards. Base is pioneering the Train-to-Earn model for robotics. With Axis Robotics, anyone can help train robot simulations from a laptop and be rewarded for contributing data. The future of robotics won’t be trained by a handful of companies. It’ll be trained by everyone. PL 漂亮 (✱,✱) showcased this vision at SuperAI, the largest AI event in Asia 👇

Base APAC

18,980 views • 2 months ago

RICE ROBOTICS TO LAUNCH A CUSTOM FLOKI AI-POWERED ROBOT AND THE $RICE TOKEN AI robotics startup RICE AI ( ◉ - ◉ ) will launch a custom Floki AI-powered companion robot. The AI-powered companion robot, named the FLOKI minibot M1, will be natively integrated with the RICE AI decentralized protocol. It can be your daily task assistant, helping with tasks that include reminding you of your grocery list, scheduling household activities, and searching online for information. It can also be your friend, adapting to your personality and building emotional connections through fun interactions such as telling bed time stories, giving friendship advice, and dancing with your favorite music. In addition, Rice AI will launch the $RICE token as the main utility token of the RICE AI decentralized protocol with support from Floki and TokenFi: - The $RICE token will launch mainly through TokenFi Launchpad, where $TOKEN stakers will be able to participate in the token sale event through TokenFi Launchpad. - FLOKI minibot M1 users will earn $RICE tokens by using and engaging with their Floki minibot M1–transforming everyday interactions into valuable robotics training data. - Floki and TokenFi users will be airdropped a portion of the $RICE token supply simply by holding and staking their tokens. We will be announcing more details about the $RICE token and how $FLOKI and $TOKEN holders can participate soon. Stay tuned for more information! Rice Robotics, the company behind RICE AI, is one of the most promising AI robotics startups, with high-profile clients and partners that include Nvidia, Softbank, Dubai Future Foundation, Mitsui Fudosan, NTT Japan, and 7-Eleven. - Softbank, which leads the $500 billion Stargate initiative recently introduced by President Trump to grow artificial intelligence infrastructure in the United States, is one of Rice Robotics' major customers, with RICE robots powering office delivery at SoftBank Headquarters. - RICE robots provide delivery services at Tokyo Midtown Yaesu for Mitsui Fudosan, one of the largest property developers in Japan. - RICE has integrated with the 7-Now mobile app and its robots are used by 7-Eleven Japan in scaling unmanned indoor delivery in Japan. - Rice Robotics is a partner of the Nvidia Inception Program. Check out what Floki Minibot M1 can do in this video 👇

FLOKI

728,342 views • 1 year ago

Humanoid Long Jump. The G1 humanoid from Unitree Robotics has completed a long jump of 1.4 meters - possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall. The G1 has up to 43 joint motors and a dexterous three-fingered hand, designed for precise manipulation and AI research. Priced from $16,000, it features robust Sim2Real capabilities, making it a compelling choice for robotics developers.

Humanoid Long Jump. The G1 humanoid from Unitree Robotics has completed a long jump of 1.4 meters - possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall. The G1 has up to 43 joint motors and a dexterous three-fingered hand, designed for precise manipulation and AI research. Priced from $16,000, it features robust Sim2Real capabilities, making it a compelling choice for robotics developers.

Circuit

26,485 views • 1 year ago

🚀Exciting News! We’re thrilled to introduce OpenWBT — the open-source, whole-body VR teleoperation system designed for humanoid across various robot types & virtual/physical worlds! 🤖✨ 💡Developed through collaboration between Galbot and Tsinghua University researchers! 🔥 Why it’s cool? ✅ Multi-robot support – Control different types of bots with one system! ✅ Cross virtual & real worlds – Operate bots seamlessly in simulator and the physical world. ✅ Built for YOU – Quick deployment with only a laptop and a VR headset, and create like never before! 💡 Calling all robot lovers & devs! Download, experiment, and help shape the future of robotics. Let’s #BuildTheFuture together! 🔗 Grab it now: GitHub： Welcome to our website： #OpenWBT #Robotics #OpenSource #Innovation #HumanoidRobots

🚀Exciting News! We’re thrilled to introduce OpenWBT — the open-source, whole-body VR teleoperation system designed for humanoid across various robot types & virtual/physical worlds! 🤖✨ 💡Developed through collaboration between Galbot and Tsinghua University researchers! 🔥 Why it’s cool? ✅ Multi-robot support – Control different types of bots with one system! ✅ Cross virtual & real worlds – Operate bots seamlessly in simulator and the physical world. ✅ Built for YOU – Quick deployment with only a laptop and a VR headset, and create like never before! 💡 Calling all robot lovers & devs! Download, experiment, and help shape the future of robotics. Let’s #BuildTheFuture together! 🔗 Grab it now: GitHub： Welcome to our website： #OpenWBT #Robotics #OpenSource #Innovation #HumanoidRobots

Galbot

38,615 views • 1 year ago

Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. In our conversation, we explore: • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning • The case for building a general “AI brain” for the physical world rather than a single specialized robot • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models Thank you to the partners who make this possible - Brex: The intelligent finance platform: - Granola: The app that might actually make you love meetings: Timestamps (00:00) Intro (04:05) Karol’s early fascination with robots (18:21) Karol’s entry point to robotics and PhD program (25:49) Combining robotics with LLMs: The Taylor Swift demo (30:48) The 1970s SHRDLU AI experiment (39:40) How research shapes what Physical Intelligence builds (49:07) The return of reinforcement learning in robotics (1:00:00) NVIDIA’s simulation engines (1:07:31) Compensating for missing senses

Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. In our conversation, we explore: • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning • The case for building a general “AI brain” for the physical world rather than a single specialized robot • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models Thank you to the partners who make this possible - Brex: The intelligent finance platform: - Granola: The app that might actually make you love meetings: Timestamps (00:00) Intro (04:05) Karol’s early fascination with robots (18:21) Karol’s entry point to robotics and PhD program (25:49) Combining robotics with LLMs: The Taylor Swift demo (30:48) The 1970s SHRDLU AI experiment (39:40) How research shapes what Physical Intelligence builds (49:07) The return of reinforcement learning in robotics (1:00:00) NVIDIA’s simulation engines (1:07:31) Compensating for missing senses

Mario Gabriele 🦊

27,871 views • 5 months ago

Axis is officially LIVE on Base. 🔵 Axis is scaling Physical AI for the real world, contributed by everyone. You can control robots in a virtual world, generate training data at scale, and help build the brain behind tomorrow's robots. All from browser. No hardware needed. Start building robotics intelligence today:

Axis is officially LIVE on Base. 🔵 Axis is scaling Physical AI for the real world, contributed by everyone. You can control robots in a virtual world, generate training data at scale, and help build the brain behind tomorrow's robots. All from browser. No hardware needed. Start building robotics intelligence today:

Axis Robotics

356,461 views • 5 months ago

After his family died in a Texas flood 10 years ago, Jonathan McComb vowed to help others by traveling to the site of tragedies and bringing closure to families. He's now part of a network of volunteers searching for the missing after last week's devastating flooding.

After his family died in a Texas flood 10 years ago, Jonathan McComb vowed to help others by traveling to the site of tragedies and bringing closure to families. He's now part of a network of volunteers searching for the missing after last week's devastating flooding.

CBS Evening News with Tony Dokoupil

21,971 views • 1 year ago

Skild has been quiet since emerging from stealth in July 2024. They just shared their journey so far, showcasing early milestones. Skild is building toward a single general-purpose, “omni-bodied” robotics foundation model: One Brain – any task, any robot. The Skild Brain can control humanoids, quadrupeds, or manipulators using a unified architecture trained on large-scale action datasets, including internet videos, simulation, and real-world data. Founded by CMU professors in 2023, the company has a strong group of researchers and engineers who have made some of the most seminal contributions to robotics research in the past decade. Now, they’re set to take it from the lab to the real world.

Skild has been quiet since emerging from stealth in July 2024. They just shared their journey so far, showcasing early milestones. Skild is building toward a single general-purpose, “omni-bodied” robotics foundation model: One Brain – any task, any robot. The Skild Brain can control humanoids, quadrupeds, or manipulators using a unified architecture trained on large-scale action datasets, including internet videos, simulation, and real-world data. Founded by CMU professors in 2023, the company has a strong group of researchers and engineers who have made some of the most seminal contributions to robotics research in the past decade. Now, they’re set to take it from the lab to the real world.

The Humanoid Hub

62,424 views • 1 year ago

🇻🇪 Earthquake relief surge in Venezuela U.S. Southern Command (U.S. Southern Command) has deployed a Marine logistics unit to support earthquake response efforts in Venezuela. The team brought in transport trucks, off-road vehicles, and ambulance capability to help move critical supplies faster and support overwhelmed local infrastructure. The operation is part of a broader U.S. government relief effort led by the State Department following the June 24 earthquakes. Writer: Lynn

🇻🇪 Earthquake relief surge in Venezuela U.S. Southern Command (U.S. Southern Command) has deployed a Marine logistics unit to support earthquake response efforts in Venezuela. The team brought in transport trucks, off-road vehicles, and ambulance capability to help move critical supplies faster and support overwhelmed local infrastructure. The operation is part of a broader U.S. government relief effort led by the State Department following the June 24 earthquakes. Writer: Lynn

Mario Nawfal

32,769 views • 1 month ago

The verdict is in! Frontier models can pass the bar, yet they struggle on comprehensive legal research Today we're releasing Legal Research Bench, a benchmark that measures models’ ability to solve realistic legal research tasks across eight areas of U.S. law Instead of awarding partial credit, Legal Research Bench measures whether a model can conduct exhaustive legal analysis. We grade against a strict, all-pass rubric written by practicing lawyers. A model only receives full credit if every required legal element is correct Claude Opus 4.8 leads with 43.8% all-pass accuracy, followed by GPT 5.5 (40.4%) and Claude Sonnet 4.6 (38.5%). While top models score around 80% with partial credit, none exceed 44% when every required legal element must be correct The gap between partial and all-pass accuracy shows how difficult it remains for AI to produce complete, reliable legal research. We hope that Legal Research Bench helps better measure, and ultimately close that gap Lots of exciting work happening in Legal AI from Harvey and Crosby. Excited for the legal research benchmarks ahead!

The verdict is in! Frontier models can pass the bar, yet they struggle on comprehensive legal research Today we're releasing Legal Research Bench, a benchmark that measures models’ ability to solve realistic legal research tasks across eight areas of U.S. law Instead of awarding partial credit, Legal Research Bench measures whether a model can conduct exhaustive legal analysis. We grade against a strict, all-pass rubric written by practicing lawyers. A model only receives full credit if every required legal element is correct Claude Opus 4.8 leads with 43.8% all-pass accuracy, followed by GPT 5.5 (40.4%) and Claude Sonnet 4.6 (38.5%). While top models score around 80% with partial credit, none exceed 44% when every required legal element must be correct The gap between partial and all-pass accuracy shows how difficult it remains for AI to produce complete, reliable legal research. We hope that Legal Research Bench helps better measure, and ultimately close that gap Lots of exciting work happening in Legal AI from Harvey and Crosby. Excited for the legal research benchmarks ahead!

Vals AI

17,351 views • 2 months ago