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About

Guangshang Zeng is a robotics researcher whose work centers on the control, modeling, and sensing of dexterous robot manipulators and hands. His research addresses the fundamental challenge of enabling robots to perform complex, human-like tasks through improved dynamic modeling and control strategies. A key contribution is his work on position-based impedance control in Cartesian space, which enhances the dexterity and robustness of robot manipulators for delicate operations. Zeng has also advanced the field by applying finite element theory to dynamic modeling of space robot hands, tackling the complex, multi-input multi-output coupling inherent in these systems. To bridge the gap between mechanical design and control, he developed a dynamics co-simulation method using ADAMS and Simulink for multi-DOF dexterous hands. Further expanding the sensory capabilities of robots, Zeng contributed to the design of a novel miniature two-axis force sensor, critical for perceiving external forces in bionic and miniature applications. While his citation counts (2–5 per paper) reflect a focused, emerging impact, his integrated approach to modeling, control, and sensing provides a solid foundation for advancing dexterous robotic manipulation.