Mingwei Zhang

Beijing University of Posts and Telecommunications, Peking University

Papers

Total Citations

H-Index

About

Mingwei Zhang is a robotics researcher whose work spans the challenging domains of bipedal locomotion and in-pipe inspection robotics. His most impactful contribution is in fast online planning for bipedal locomotion, where he developed a centroidal model predictive gait synthesis framework. This work, which has garnered 19 citations, addresses the computationally intensive problem of whole-body motion and step-time planning by reformulating it as an efficient model predictive control (MPC) problem—enabling real-time, dynamic walking for bipedal robots. In parallel, Zhang has made notable advances in pipe inspection robotics. His design of a flexible squirm pipe robot, featuring a novel flexible axle and self-steering device, enables peristaltic motion and autonomous navigation through complex pipe geometries. This work, cited 17 times, demonstrates his ability to solve practical, real-world engineering challenges with innovative mechanical design. Zhang’s research is characterized by a blend of theoretical control synthesis and practical mechanism design, making his contributions valuable for both advancing humanoid locomotion and enabling robust robotic inspection in constrained environments.