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About

Shun Gui is a pioneering researcher in bio-inspired robotics and human-robot interaction, whose work bridges mechanical design and intelligent control systems. His primary research areas include jumping robot locomotion, mechanism design, and anticipatory control for collaborative robots. Gui’s major contributions center on developing biologically inspired robotic systems, most notably his groundbreaking work on locust-inspired robots with one-degree-of-freedom (DOF) legs, where he established stability-based mechanism design principles that have garnered 40 citations. He further advanced the field by creating rigid-flexible coupling four-bar leg mechanisms for small-scale jumping robots, achieving 9 citations for his dynamic modeling and performance analysis. In human-robot collaboration, Gui introduced an innovative online deep model predictive control (Deep-MPC) system that enables robots to anticipate human movements in crowded environments, addressing critical challenges in occlusion and safety. His comprehensive review of robot safety trends (6 citations) has informed subsequent research directions. With a citation impact spanning mechanism design to intelligent control, Gui’s work continues to shape the development of more agile, stable, and socially-aware robotic systems.