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cs.RO2026
When Robots Rate Their Own Interactions: Engagement Validity and the Strangeness Failure
Victor Lockwood, Hasan Mahmud, Mohammad Javad Khojasteh +2
Human-robot interaction (HRI) evaluation relies almost exclusively on human-completed questionnaires, leaving the robot's perspective unexamined. We propose an \textit{inverted eva…
cs.RO2026
Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret
Viet Dung Nguyen, Yuhang Song, Anh Nguyen +3
Robot reinforcement learning from demonstrations (RLfD) assumes that expert data is abundant; this is usually unrealistic in the real world given data scarcity as well as high coll…