103 citations · 168 across the 11 of their papers we have counts for
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cs.RO2024★ 1 cited
R+X: Retrieval and Execution from Everyday Human Videos
Georgios Papagiannis, Norman Di Palo, Pietro Vitiello +1
We present R+X, a framework which enables robots to learn skills from long, unlabelled, first-person videos of humans performing everyday tasks. Given a language command from a hum…
cs.RO2024★ 4 cited
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
Norman Di Palo, Edward Johns
We show that off-the-shelf text-based Transformers, with no additional training, can perform few-shot in-context visual imitation learning, mapping visual observations to action se…
cs.RO2024
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models
Norman Di Palo, Edward Johns
We propose DINOBot, a novel imitation learning framework for robot manipulation, which leverages the image-level and pixel-level capabilities of features extracted from Vision Tran…