Yichao Sun

Zhejiang University, State Key Laboratory of Industrial Control Technology

Papers

Total Citations

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About

Yichao Sun’s research lies at the intersection of humanoid robotics, human-robot interaction, and task learning, with a focus on enabling robots to perform complex, dynamic tasks in human environments. His most influential work centers on developing balance and impedance control strategies for humanoid robots playing table tennis, a challenging domain requiring rapid motion and stability. His 2011 paper on balance motion generation (32 citations) and 2012 work on impedance control (19 citations) demonstrate how robots can maintain stability during fast manipulatory tasks, advancing the goal of human-like dexterity. Sun also made significant contributions to robot autonomy through dialog-based task management. His 2015 paper on KnoWDiaL (18 citations) introduced a novel approach for robots to learn task knowledge from human dialog and web access, enabling more flexible and context-aware task execution. Earlier work on interruptable autonomy (2013) explored how mobile service robots could manage user-requested tasks like delivery and escorting in real-world office settings. With a career spanning both low-level control and high-level reasoning, Sun’s research has helped bridge the gap between theoretical robotics and practical, interactive systems. His work continues to influence the development of robots that can safely and intelligently collaborate with humans in everyday environments.