Muchen Sun

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About

Muchen Sun is a robotics researcher whose work bridges the critical gap between autonomous navigation and human-robot interaction. His primary research areas include crowd navigation, game-theoretic planning, and soft robotics control. Sun’s most impactful contribution is his pioneering approach to crowd navigation, where he proposed moving beyond traditional trajectory-based methods to instead couple predictions in distribution space—a framework that enables robots to cooperatively avoid collisions without becoming overaggressive or overcautious. This work, published in 2021, has garnered 18 citations and addresses the fundamental challenge of robots navigating dense human crowds. He further advanced this domain by introducing mixed strategy Nash equilibrium for crowd navigation (2024, 8 citations), applying game theory to help robots reason about human cooperation and avoid freezing behavior. Demonstrating versatility, Sun also contributed to soft robotics with automated gait generation for walking, soft robotic quadrupeds (2023, 10 citations), tackling the nonlinear dynamics and high-dimensional control spaces of soft actuators. His research is notable for its theoretical rigor and practical relevance, offering scalable solutions for robots operating in human-centered environments.