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Byron David

2 accepted papers

2022

Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning

ICML 2022spotlight

Assembly of multi-part physical structures is both a valuable end product for autonomous robotics, as well as a valuable diagnostic task for open-ended training of embodied intelligent agents. We introduce a naturalistic physics-based environment with a set of connectable magnet blocks inspired by c…

2022

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

CoRL 2022oral

Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon high-level, temporally extended instructions expressed in natural language. However, a significant weakness of language models is that they lack real…

Cited by 1747SourcecodeScholar