Caleb Chang

Caleb is a graduate student in the Aeronautics & Astronautics Department. His research is in safe autonomy which blends control theory, machine learning, and human-robot interaction. He develops algorithms that enable robots to adapt to people’s needs and preferences for better human-robot cooperation. In a world where robots act with and around people, he hopes to provide personalized and accommodating robot behavior to earn human trust.

Caleb is a recipient of the Achievement Rewards for College Scientists (ARCS) Fellowship (2025-2028)


Publications

  1. Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
    Remy, I., Chang, C., and Leung, K.
    2026 (submitted)

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