When life gives you lemons, you pick them up.

Despite great advances in learning dexterity, hardware remains a major bottleneck. Most dexterous hands are either bulky, weak or expensive. I’m thrilled to present the RUKA Hand — a powerful, accessible research tool for dexterous manipulation that overcomes these limitations!

Excited to announce the 1st Workshop on Continual Robot Learning from Humans @ #RSS2025 in LA! We're bringing together interdisciplinary researchers to explore how robots can continuously learn through human interactions! Full details: …-robot-learning-from-humans.github.io Robotics: Science and Systems

This is probably as good a time as any to show a robot dropped in 𝘂𝗻𝘀𝗲𝗲𝗻 𝗵𝗼𝗺𝗲𝘀 and interacting with 𝘂𝗻𝘀𝗲𝗲𝗻 𝗼𝗯𝗷𝗲𝗰𝘁𝘀 using VLMs and robot models to solve open-vocabulary pick and drop queries (OK-Robot from Jan 2024).

Deploying robots in unseen homes, interacting with unseen objects. The sequel to this paper - DynaMem - will be presented at ICRA in Atlanta

We’re deeply honored to be recognized with the inaugural Robots for Good award at the 2025 Robotics Summit & Expo. Our sincere thanks to the Hello Robot team and to our worldwide user community for helping make this possible!

New work from the Stretch community this spring: 🌷 Open-source dynamic semantic mapping 🌷 Servoing with Vision Models 🌷 Zero-shot manipulation from RGB human videos 🌷 Tons of HRI research 🌷 New Software Drop with Firebase networking And more! hello-robot.com/community-upda…

Nice demo at #ICRA2025! They are also demoing it Wednesday afternoon in the exp hall. Feel free to come by to check if you have the availability!

You don't need 7B+ parameter models to run pick-place! We are demoing tinyyy RUMs, ~30M running on device with i5 CPU at #ICRA2025 today from 1-5 PM, between halls A2/A3. Best of all, these models are 𝘇𝗲𝗿𝗼-𝘀𝗵𝗼𝘁! So try your own objects and test the generality of RUMs.

This demo is very interesting. Try to teleoperate this hand to do cool things in your mind!

Imagine robots learning new skills—without any robot data. Today, we're excited to release EgoZero: our first steps in training robot policies that operate in unseen environments, solely from data collected through humans wearing Aria smart glasses. 🧵👇

Teaching robots to learn only from RGB human videos is hard! In Feel The Force (FTF), we teach robots to mimic the tactile feedback humans experience when handling objects. This allows for delicate, touch-sensitive tasks—like picking up a raw egg without breaking it. 🧵👇

Live demo-ing RUMs at #CVPR2025 this afternoon next to the expo sessions – stop by with something small and let’s see if the robot can pick it up zero shot! #CVPR2025

Making touch sensors has never been easier! Excited to present eFlesh, a 3D printable tactile sensor that aims to democratize robotic touch. All you need to make your own eFlesh is a 3D printer, some magnets and a magnetometer. See thread 👇and visit e-flesh.com

Welcome to join us tomorrow! 🗓️ June 21 | 8:50 AM – 12:30 PM PT 📍 USC (OHE 132) & Zoom (wse.zoom.us/j/95095685281)

🚀 With minimal data and a straightforward training setup, our VisualTactile Local Policy (ViTaL) fuses egocentric vision + tactile feedback to achieve millimeter-level precision & zero-shot generalization! 🤖✨ Details ▶️ vitalprecise.github.io

It is difficult to get robots to be both precise and general. We just released a new technique for precise manipulation that achieves millimeter-level precision while being robust to large visual variations. The key is a careful combination of visuo-tactile learning and RL. 🧵👇

The Hello Robot team is ready to go at the AI for Good Global Summit! Excited to connect with innovators from around the world and share how Hello Robot is building useful, inclusive robots that make a real difference. Can’t wait to get underway! #AIforGood #HelloRobot AI for Good 🇺🇳 #AIforGood

Missed our #RSS workshop on Continual Robot Learning from Humans? ✨ Or want to rewatch 📷 your favorite talks? We released all recordings on YouTube 👇 youtube.com/playlist?list=…

From dexterous hands to imitation from internet videos, his group keeps dropping breakthroughs that set the tone for the field. Lerrel Pinto’s lab at NYU has quietly reshaped robotic learning. A breakdown 🧵 [📍SAVE MEGA THREAD FOR LATER📍]