Weizhou Su

Papers

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About

Weizhou Su is a researcher specializing in multi-robot systems, with a particular focus on path planning and cooperative localization. His work addresses fundamental challenges in autonomous robotics, including oscillation suppression and local minima avoidance in path planning. Su’s most cited paper, "Multi-robot path planning based on improved artificial potential field and B-spline curve optimization" (2019, 20 citations), introduces a gain constraint and random factor to enhance the artificial potential field method, combined with B-spline curve optimization for smoother trajectories. This contribution has been influential in advancing multi-robot navigation in complex environments. Su has also made significant contributions to multi-robot localization, with papers on Extended Kalman Filter (EKF) based localization for mobile robot teams (2016, 10 citations) and distributed cooperative localization (2016, 3 citations). His work on two-stage localization algorithms and distributed estimation methods has helped enable robust position estimation in leader-follower robot teams. Su’s research provides practical solutions for real-world multi-robot applications, from warehouse automation to search and rescue operations, making him a notable contributor to the field of cooperative robotics.