Chenghui Zhou

Carnegie Mellon University, Beijing University of Posts and Telecommunications, McGill University

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About

Chenghui Zhou’s research lies at the intersection of social robotics, autonomous navigation, and human-robot interaction, with a focus on making robots robust and reliable in real-world environments. A key contribution is their work on the Pepper humanoid robot, where they developed frameworks for robust perception and interactive behavior in public spaces—a foundational step toward deploying social robots outside the lab (24 citations). Zhou also advanced wheeled mobile robot control by designing an adaptive sliding mode trajectory tracking system that compensates for wheel skidding and slipping using an extended state observer, significantly improving performance on challenging terrains like wet or icy ground (22 citations). In pedestrian motion prediction, Zhou applied time series models to enable robots to anticipate human movement, a critical capability for safe navigation in crowded settings (7 citations). These contributions demonstrate a sustained commitment to bridging the gap between theoretical control and perception algorithms and their practical deployment in dynamic, unstructured environments—a hallmark of impactful robotics research.