Shiyi Li

Papers

Total Citations

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About

Shiyi Li is a robotics researcher whose work focuses on enhancing the safety and precision of industrial manipulators through advanced control systems. His primary research areas include collision detection algorithms and force-controlled robotic manipulation, addressing critical challenges in human-robot interaction and automated manufacturing. Li’s most influential contribution is his 2015 paper on a momentum-based collision detection algorithm, which has garnered 17 citations. This work leverages the decoupling properties of generalized momentum to accurately estimate external torques, enabling robots to detect collisions and react safely—a fundamental advancement for collaborative robotics. Building on this foundation, Li’s 2020 study on a surface tracking system with closed-loop force control (3 citations) extends his expertise into contact-rich tasks. By integrating force feedback into position-controlled industrial robots, this research enables complex operations like grinding and polishing, where maintaining precise contact force is essential. Li’s work bridges the gap between traditional position-controlled automation and the nuanced requirements of advanced manufacturing, demonstrating a clear trajectory from safety to capability in robotic systems. His contributions are particularly valuable for researchers developing next-generation industrial robots that must operate safely alongside humans while performing delicate, force-sensitive tasks.