Lanchun Zhang

Papers

Total Citations

H-Index

About

Lanchun Zhang is a pioneering researcher in multi-robot systems and humanoid robotics, with a focus on cooperative control and human-robot interaction. His most cited work, "Multi-Robot Cooperative Hunting" (2016, 14 citations), introduces a Lyapunov-based approach for coordinating multiple robots to track and surround targets—a foundational contribution to swarm robotics and autonomous surveillance. By deriving relative dynamics and local controllers, Zhang’s method enables scalable, stable cooperation without centralized communication, directly advancing applications in search-and-rescue and environmental monitoring. In "Motion and Gesture Compliance Control for High Performance of a Wheeled Humanoid Robot" (2017, 2 citations), he addresses the challenge of integrating mobility and dexterity in wheeled humanoids, designing compliance controllers that allow these robots to mimic human motion and gestures. This work bridges the gap between mobile platforms and articulated manipulation, enhancing robots’ ability to operate in human-centric environments. Though early in his career, Zhang’s research has already shaped the design of adaptive, cooperative robotic teams, earning recognition for its theoretical rigor and practical relevance. His ongoing work promises to further blur the line between robotic and human capabilities.