Lixiong Lin
Papers
6
Total Citations
65
H-Index
5
About
Lixiong Lin is a leading researcher in robotics and control systems, with a focus on unmanned aerial manipulators (UAMs) and nonholonomic mobile robots. His work addresses critical challenges in autonomous systems, including robust control under disturbances, trajectory tracking, and obstacle avoidance. Lin’s most cited paper, “Robust Control for Unmanned Aerial Manipulator Under Disturbances” (2020, 31 citations), tackles model uncertainty and environmental disturbances in UAMs, combining quadrotors with robotic arms for active environmental interaction. He introduced a novel sliding mode control approach for nonholonomic mobile robots using a non-negative piecewise predefined-time theorem (2021, 12 citations), enabling faster and more reliable path tracking. His research on distributed cooperative obstacle avoidance (2019, 9 citations) and predefined-time active disturbance rejection (2023, 6 citations) further advances multi-robot coordination and robustness against slipping and skidding. Lin also contributes to optimization methods, such as self-regulating particle swarm optimization (2022, 5 citations), and dynamic Jacobian identification for robot manipulation (2013, 2 citations). With over 65 total citations, Lin’s innovations in predefined-time control and disturbance rejection are shaping the future of autonomous robotics, offering practical solutions for real-world applications in aerial and ground vehicles.
Research Focus
Key Achievements
Top Papers
- 1Robust Control for Unmanned Aerial Manipulator Under Disturbances31 citations · 2020
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