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About

Yipeng Li is a robotics researcher whose work focuses on the control and navigation of robotic systems, particularly those with closed architectures. His most significant contribution is in adaptive control, where his 2024 paper on "Adaptive control of robot manipulators with closed architecture" has garnered 16 citations, establishing a foundation for handling the unique constraints of non-programmable, industrial-grade robots. Li also addresses practical challenges in autonomous navigation, proposing an improved smooth A* algorithm integrated with the Dynamic Window Approach to enhance path planning efficiency and smoothness for mobile robots. His research extends to teleoperation, where he investigates bilateral control under time-varying delays, tackling the critical issue of closed-architecture systems that lack direct force feedback. With a total of 22 citations across his top papers, Li’s work bridges theoretical control methods and real-world robotic applications, offering solutions for safer, more efficient robot operation in manufacturing and service environments. His contributions are particularly valuable for researchers and students interested in adaptive control, path planning, and teleoperation systems.