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we open sourced the code to transform human videos into robot trajectories, so you can train robots with your hands 👐🏻 we used it in our recent paper R+X: Retrieval and Execution from Everyday Human Videos (ICRA 2025 🇺🇸) link and details in thread 🧵

Tomorrow morning at #ICRA2025, I will be presenting our findings on whether robots can learn dual-arm tasks from just a single demonstration. (Spoiler: they can!) Come along! This was led by my excellent PhD student Yilong Wang. Paper & videos here: robot-learning.uk/one-shot-dual-….

At #ICRA2025, I'm about to present: "R+X: Retrieval and Execution from Everyday Human Videos". By using a VLM for retrieval and in-context IL for execution, robots can now learn from just videos of humans! Led by George Papagiannis and Norman Di Palo. See: robot-learning.uk/r-plus-x

A few years ago, humanoids with legs walking around the ICRA exhibition was the new thing. This time, it’s the year of the hands! Tons and tons of humanoid hands! #ICRA2025

Full episode coming soon! Geeking out with Vitalis Vosylius & Edward Johns on Instant Policy: In-Context Imitation Learning via Graph Diffusion robot-learning.uk/instant-policy Co-hosted by Chris Paxton & Michael Cho - Rbt/Acc

Vitalis and I had a cracking chat about "Instant Policy" with Michael Cho - Rbt/Acc and Chris Paxton. Thanks for the invite! If you want to know how to really get in-context learning working in robotics, Vitalis Vosylius and I take you through it in the video below 👇

I am very happy and proud today that my student Norman Di Palo (Norman Di Palo) has just passed his PhD viva! Norman has had a very creative few years in my lab and I've learned a lot from his insights and curiosity. Congratulations Norman, it has been a pleasure working with