How can non-experts quickly teach robots a variety of... tasks? Introducing HAND ✋, a simple, time-efficient method of training robots! Using just a **single hand demo**, HAND learns manipulation tasks in under **4 minutes**! 🧵show 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 🙏show more

Introducing 2️⃣ new AI systems for robotics: 🤖 ALOHA... Unleashed to perform two-armed manipulation tasks 🦾 DemoStart to control a multi-fingered robotic hand They learned to tackle a range of actions requiring dexterity. Here's how. 🧵show more

A simple possession game using sticky ball. •Hurley in... hurling hand, throw with the catching hand •Team in possession try work the ball to their teammate with the sticky pad •Players can progress to hand passing instead of throwingshow more

How can robots reliably place objects in diverse real-world... tasks? 🤖🔍 Placement is tough—objects vary in shape and placement modes (such as stacking, hanging, and insertion), making it a challenging problem. We introduce AnyPlace, a two-stage method trained purely on synthetic data to predict diverse placement poses of unseen objects for real-world tasks. Read on for more👇show more

Introducing Universal Manipulation Exoskeleton (UME) A low-cost exoskeleton with... real-time haptic torque feedback for learning autonomous policies that perform highly force-mediated, tightly space-constrained, visually occluded, whole-body, and long-horizon mobile manipulation tasks. Using UME, the teleoperator can unsheathe a heavy metal sword completely blindfolded. 🧵1/Nshow more

Why I need a Filipino lead in Bridgerton is... so they can teach Pak Ganern as a variation of their hand clapping game 😂show more

Introducing CQN: Coarse-to-fine Q-Network, a value-based RL algorithm for... continuous control🦾Initialized with 20~50 demonstrations, it learns to solve real-world robotic tasks within 10 mins of training, without any pre-training and shaped rewards! (1/4)show more

Elon Musk today on Optimus robot: "You’ve probably seen... a lot of impressive demos of robots on the internet, but those demonstrations are pre-programmed or remote-controlled. There is no humanoid robot that can actually do generalized tasks. Optimus will be the first one that will be capable of doing that, in just a demo, it’s generally useful in day-to-day life."show more

introducing the Polygon Governance Hub — a unified &... transparent interface for community governance, developed with Aragon.eth 🦅. built hand-in-hand with the community, the hub marks the next chapter of Polygon governance and community ownership. more on what this means 🧵show more

Ground & pound lives on in 2D, where mounted... strikes can now be delivered with either hand - and from a wider variety of positions: 👊show more

How to deal with AI: Lesson One Akane and... Bot have first-hand experience of dealing with AI problems. Find out more in our hand-drawn pixel-art adventure with a demo available NOW on Steam.show more

How can we leverage diverse human videos to improve... robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling seamless transfer. With some robot demos, EgoVLA becomes a powerful, generalizable robot policy.show more

“The hand is where the mind meets the world.”... — Carl Zimmer Humanoid hands closely replicating human degrees of freedom enable robots to seamlessly integrate into our world and learn more efficiently from human demonstrations. A look at some of the impressive hands from 2024🧵show more

30 minutes of video. Robot learns the task. Open-source,... end-to-end. An open-source framework for training robot policies from only 30 minutes of human egocentric videos captured via Meta Aria glasses: Achieving zero-shot transfer to robots without any robot data collection. The method relies on Interaction-Centric Tokens that encode hand-object spatial relationships invariant to embodiment and viewpoint, supplemented by auxiliary objectives like object motion prediction and latent consistency to extract richer supervision signals from the same data. HumanEgo demonstrates strong cross-embodiment, cross-environment performance on bimanual tasks, outperforming baselines like ACT and teleop data while being trainable on a single RTX 4090 GPU. Thanks for sharing, Zhi (Leo) Wang. 📌 Website: Paper: Code: Video: ——- Weekly robotics and AI insights. Subscribe free:show more

We just published a new behind-the-scenes peek at the... development of R2: Here are four big takeaways 👇 1) Our designers and engineers worked hand-in-hand simplifying and refining R2 to make a vehicle that is both beautiful to look at and efficient to build.show more