24 citations · 29 across the 22 of their papers we have counts for
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cs.RO2024
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
Omkar Patil, Anant Sah, Nakul Gopalan
Humans can perform various combinations of physical skills without having to relearn skills from scratch every single time. For example, we can swing a bat when walking without hav…
cs.RO2024
XMoP: Whole-Body Control Policy for Zero-shot Cross-Embodiment Neural Motion Planning
Prabin Kumar Rath, Nakul Gopalan
Classical manipulator motion planners work across different robot embodiments. However they plan on a pre-specified static environment representation, and are not scalable to unsee…
cs.RO2024
Continual Robot Skill and Task Learning via Dialogue
Weiwei Gu, Suresh Kondepudi, Anmol Gupta +2
Interactive robot learning is a challenging problem as the robot is present with human users who expect the robot to learn novel skills to solve novel tasks perpetually with sample…