Papers
2
Total Citations
44
H-Index
2
About
Lisheng Wei is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on developing advanced algorithms for mobile robot path planning and robust manipulator control. His most impactful work, "APF-IRRT*: An Improved Informed Rapidly-Exploring Random Trees-Star Algorithm by Introducing Artificial Potential Field Method for Mobile Robot Path Planning" (2022, 36 citations), introduces a novel hybrid approach that fuses the Informed RRT* algorithm with artificial potential fields. This innovation dramatically accelerates the search for near-optimal paths by intelligently guiding the sampling process, overcoming the slow convergence of traditional RRT* variants and enabling more efficient navigation in complex environments. In his earlier foundational work, "Backstepping Sliding Mode Control for Robot Manipulator via Nonlinear Disturbance Observer" (2019, 8 citations), Wei tackled the challenge of controlling nonlinear, uncertain robotic systems under strong interference. By integrating backstepping sliding mode control with a nonlinear disturbance observer, he developed a robust position tracking method that significantly enhances system stability and precision. Together, these contributions establish Wei as a key innovator in bridging optimization-based path planning and robust control, with his work directly impacting the development of more intelligent, resilient autonomous systems.
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