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Online Language Corrections for Manipulating Robots
Stanford University's ILIAD Lab: May - Dec. 2022
Published Peer Reviewed Paper
Yuchen Cui*, Siddharth Karamcheti*, Raj Palleti, Nidhya Shivakumar, Percy Liang, Dorsa Sadigh, "'No, to the Right' – Online Language Corrections for Robotic Manipulation via Shared Autonomy", published in the Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), March 2023
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Transferring Human Preferences from Canonical to Complex Assembly Tasks for Effective Robot Assistance
USC's ICAROS Lab: Jun. - Aug. 2021
In complex manual assembly tasks, various workers performing the same task could execute it differently. Robots learn human preferences using inverse reinforcement learning and can assist workers based on individual preferences.
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