Ping Shen

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Ping Shen is a robotics researcher whose work centers on humanoid robot locomotion, motion planning, and multi-agent collaboration, with a particular focus on competitive robot soccer platforms. Working within the demanding RoboCup3D simulation environment, Shen has made meaningful contributions to the challenge of designing agile, responsive movement systems for bipedal robots — one of the most technically complex problems in modern robotics. Shen's most recognized contributions include the development of walking motion frameworks for the Apollo3D humanoid soccer team, leveraging double linear inverted pendulum models combined with predictive control to generate stable and efficient locomotion trajectories. This work, cited six times, addressed the critical need for quick and adaptable movement in competitive robot soccer scenarios. Complementing this, Shen's research on omnidirectional walking expanded the mobility capabilities of biped robots within the same simulation environment. Perhaps most notably, Shen explored multi-robot collaboration through Markov decision processes, proposing optimization methods that addressed the persistent challenge of slow convergence in local strategy training — work that has attracted five citations. Though early in research impact by citation metrics, Shen's focused contributions to humanoid robotics and autonomous multi-agent systems provide valuable groundwork for students and engineers advancing intelligent robotic competition platforms.