The next breakthrough for robot VLMs isn’t a bigger... model 🧠 it’s memory. RAL accepted ✅ We show that a robot can ground a VLM using its own real-world experience, not extra training. EXPTEACH/PRAGMABOT = self-generated memory + closed-loop reflection: Fail → diagnose → replan → succeed → store experience Next time → retrieve the right experience → succeed in one shot Results on real robot tasks: 36% → 84% with reflection (STM) 22% → 80% single-trial success with long-term memory (LTM+RAG) And yes, we saw tool use emerge without explicitly asking for it. If you’re fighting brittle “VLM plans” on hardware, this is for you. #AI #Robotics ANYboticsshow more

Evaluating policies on a real robot can be painful.... Can we use a world model to get a rough estimate of how good a policy is? Checkout "Evaluating Robot Policies in a World Model". Paper: Demo: Code:show more

We built a bipedal robot for about $2,500. A... real, mostly 3D-printed robot you can build, repair, simulate, train, and control. Today we’re releasing LeRobot Humanoid: an open robot-learning platform with hardware, runtime, identification tools, and training environments. Blog post: Repo:show more

RAG is not Memory. AI agents need long-term memory... to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource. 1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.show more

Hey #NeuraxonMini is literally out! , we manage to... "transplant" a Neuraxon 2 bioinspired #AI brain to a physical robot the #SpheroMini moving from our last Scientific Paper (link bellow) by David Vivancos - e/acc & Jose Sánchez for Qubic #OpenScience hybridized with #Aigarth to the real World. First you need a Sphero Education Mini robot about 50$ Then you can try the first cool demos at Hugging Face: 1.- Neuraxon2MiniControl to drive the sphero robot 2.- Neuraxon2MiniWrite to write letters or words with physical moves of the sphero robot using Neuraxon Video Tutorials on youtube later today. Why this matters? Remember we are not building "dead" LLMs we are building #AliveAIs and for that we need to explore how it behaves in reality, from how it learns to how it fails, and what better way that in the emerging field of #robotics , time will tell if your next #HumanoidRobot have a #Neuraxon brain... Read the Paper: Explore the Neuraxon code here: Are you ready for #TrueAI ?show more

The context size of video world models is only... a few frames. Like a human with severe memory loss! We design a long-term memory for world models based on explicit 3D representations inspired by the human mind. This enables long-term consistency. 1/3show more

🐟This isn’t a real fish, it’s a robot! China’s... Navy unveiled its cutting-edge bionic fish robot during an open day event. Equipped with head-mounted sonar, it can monitor underwater surroundings in real time.show more

😢 Sad: in Miami, a delivery robot decided to... end its life by waiting for a train on the tracks “A rare hardware malfunction occurred in the robot,” a spokesperson for Coco Robotics told People.show more

Train a TensorFlow object detection model – then deploy... it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:show more

Playing on the new Jetson Thor trying to think... in terms of having gobs of memory, but low mem bandwidth Moondream2 VLM is ~2 FPS per full loop of everything But we have 128GB of memory. So run 15 VLM servers (~76GB) & get 30 FPS w/ ~100ms latency for the feed very comfy.show more

China’s AI robot is going crazy EX-ROBOT is one... of the most popular robot companies in China you can see them in restaurants, hotels and homes and… talk with them to complete tasks for you 10 wild examples:show more

Can we leverage VLMs for robot manipulation in the... open world? Checkout our new work MOKA, a simple and effective visual prompting method!show more

A student just trained this within a day, no... tedious tuning, no sim2real tricks, not even with sys-id. Worked in the first trial on the real robot. This explains the many recent impressive demos on G1 robot -- just the hardware. Still sim2real gaps on ankle and waist dofs tho.show more

🤖 NVIDIA’s Gr00t N1.5 is now available in LeRobot!... This is the result of a great collaboration between the Hugging Face LeRobot team and NVIDIA Robotics ! Gr00t N1.5 highlights: 🦾 Cross-embodiment foundation model for robots 🧠 Multimodal inputs: vision, language, and proprioception 🪛Tested on the Libero benchmark and real-world hardware tasks 🌍Trained on real robot, synthetic, and internet-scale video data ⚙️ Flow matching action transformer for action predictionshow more

How can we more effectively leverage robot data from... different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:show more

Here at Eitherway we are always focused on the... next innovation, the latest evolution will be bigger and better than before. With a real focus on seamless accessibility, simplicity and optimizing every user's experience. The next phase is coming, with a fully revamped product design and an autonomous AI companion for all builders!show more

Long-horizon visual goals remain surprisingly hard for robot manipulation.... We introduce Act2Goal, a goal-conditioned policy that uses a visual world model to reason about progress toward a goal, and practice it autonomously in the real world.show more

🎮Get a first look at Tencent HY World 1.5... (WorldPlay)! 🎮 Our newest world model with real-time interaction and long-term memory. It’s going *open-source* tomorrow.show more

Memo is a robot that uses AI to perform... household tasks effectively. Today Sunday announced its Series B, and we’re proud to be investors. Training robots for the home is hard — the environment is messy, dynamic, and full of edge cases. So Sunday is training robots directly on real households. Founders Tony Zhao and Cheng Chi built a glove-based system that lets hundreds of contributors record everyday tasks in their own homes, creating high-fidelity demonstrations that feed directly into robot learning. Home robotics will be defined by the companies that learn fastest from real homes. Sunday is building that loop. More here: Aaref Hilaly Amanda Huangshow more

Can robots learn without training❓ [𝗜𝘁'𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 ⬇... ] Teaching robots to do complex tasks WITHOUT spending hours training them. Sounds cool, right? That's exactly what DIAL-MPC does! The first training-free method for whole-body torque control using full-order dynamics: ✅ Instantly checks if a robot's moves are right or wrong ✅ Adapts quickly to new tasks without needing extra training ✅ Could work hand-in-hand with other robot learning methods Robots are getting smarter AND faster without the need for long training sessions. Website: Paper: Code: Saw this first Haoru Xue ✈️ CVPR 🙏show more

1/ A Robot Dog That Can Carry You Unitree... Robotics’ B2-W is a four-legged robot that can carry an adult using wheels and legs. It’s designed for city transport, inspections, and even search & rescue.show more