Junlin Xiong

University of Science and Technology of China

Papers

Total Citations

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About

Junlin Xiong is a leading researcher in the field of robotics and control systems, with a primary focus on motion control, iterative learning, and collision-tolerant multi-robot coordination. His work addresses critical challenges in autonomous navigation, particularly for systems operating under uncertainty and physical constraints. Notably, his 2024 paper on iterative-learning-based tracking control for two-wheeled mobile robots—cited 7 times—introduces a novel framework that compensates for model uncertainties and unknown periodic disturbances, significantly advancing the robustness of real-time robotic control. In his 2023 study on motion control under allowable collisions, Xiong redefines safety in multi-robot systems by analyzing and leveraging controlled impacts rather than avoiding them entirely, a paradigm-shifting approach that has garnered 3 citations. This work demonstrates how collisions can be tolerated without damaging hardware, opening new possibilities for dense robot swarms. Xiong’s contributions are pivotal for students and researchers exploring resilient autonomous systems, offering practical solutions that bridge theoretical control theory and real-world robotic applications. His research continues to influence the next generation of mobile robotics.