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About

Yushing Cheung is a robotics researcher whose work spans teleoperation, multi-robot systems, and adaptive control, with particular emphasis on bridging human operators and autonomous robotic teams in complex, real-world environments. Cheung's most influential contributions center on semi-autonomous formation control and cooperative telemanipulation, notably developing adaptive bilateral control frameworks that enable a single human operator to command multiple robotic agents simultaneously — a paradigm known as Single Master Multi-Slave (SMMS) teleoperation. His 2009 papers on formation control (17 citations) and multi-arm cooperative telemanipulation (12 citations) established foundational methods for balancing transparency, contact stability, and obstacle avoidance in unstructured settings. Earlier work on adaptive force-reflecting teleoperation (2007) demonstrated his commitment to making industrial robots intelligently responsive to unknown environments through contact-force-driven compensation strategies. Later research extended these principles to multi-target mission planning and vision-guided robotic interception under occlusion conditions, reflecting Cheung's evolving interest in perception-integrated autonomy for dynamic manufacturing environments. Across his portfolio, Cheung has consistently addressed the practical challenge of safe, efficient human-robot collaboration, making his research particularly relevant for students exploring telerobotics, autonomous systems, and intelligent manufacturing control architectures.