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cs.RO2026
Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
Qiping Zhang, Kate Candon, Debasmita Ghose +1
In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences for robot behavior consists of three steps. First, the robot collects li…
cs.RO2026
Robots Influencing Humans to Reveal their Goals during Collaboration and Competition
Debasmita Ghose, Oz Gitelson, Michal Lewkowicz +3
We propose a unified strategy for fast goal inference in human-robot interaction. The core idea is to drive the human toward Critical Decision Points (CDPs)-states where competing…