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cs.RO2024★ 1 cited
LeLaN: Learning A Language-Conditioned Navigation Policy from In-the-Wild Videos
Noriaki Hirose, Catherine Glossop, Ajay Sridhar +3
The world is filled with a wide variety of objects. For robots to be useful, they need the ability to find arbitrary objects described by people. In this paper, we present LeLaN(Le…
cs.RO2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation
Jonathan Yang, Catherine Glossop, Arjun Bhorkar +5
Recent years in robotics and imitation learning have shown remarkable progress in training large-scale foundation models by leveraging data across a multitude of embodiments. The s…