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cs.RO2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao, Reid Simmons, Henny Admoni +2
In interactive imitation learning (IL), uncertainty quantification offers a way for the learner (i.e. robot) to contend with distribution shifts encountered during deployment by ac…
cs.RO2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
Michelle Zhao, Reid Simmons, Henny Admoni +1
Assistive robotic arms often have more degrees-of-freedom than a human teleoperator can control with a low-dimensional input, like a joystick. To overcome this challenge, existing…