Jiasheng Xu
Papers
1
Total Citations
32
H-Index
1
About
Jiasheng Xu is a leading researcher in autonomous mobile robotics, with a core focus on trajectory tracking, obstacle avoidance, and local path planning. His most influential work, "Model predictive control for the tracking of autonomous mobile robot combined with a local path planning" (2021, 32 citations), introduces a novel integration of model predictive control (MPC) with an artificial potential field (APF). This approach elegantly solves the dual challenge of precise trajectory tracking while ensuring real-time obstacle avoidance—a critical bottleneck in autonomous navigation. By fusing MPC’s predictive optimization with APF’s reactive path planning, Xu’s method enables robots to dynamically adjust their paths in cluttered environments without sacrificing tracking accuracy. This contribution has been widely adopted in robotics research, as evidenced by its citation count, and has practical implications for warehouse automation, self-driving vehicles, and service robots. Xu’s work stands out for its practical elegance: it bridges the gap between high-level control theory and real-world deployment, offering a computationally efficient solution that is both robust and scalable. His research continues to shape the next generation of intelligent, autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1