Max Muchen Sun

Max Muchen Sun

Ph.D. Candidate in Robotics

Northwestern University, Evanston, IL

I am a Ph.D. candidate in robotics at Northwestern University Center for Robotics and Biosystems, advised by Prof. Todd Murphey. I also collaborate with Dr. Pete Trautman at Honda Research Institute, with whom I developed the algorithm and software for a five-month, large-scale field deployment of robot navigation in human crowds in Santa Cruz, CA.

My research centers around on-device robot learning, enabling energy-efficient, self-reliant, and privacy-preserving robot autonomy, relying solely on the onboard perception and computation resources. My work intersects with algorithmic decision-making, optimization, machine learning, and real-world robot deployment. Applications of my work include robot navigation, autonomous exploration, multi-agent cooperation, robot manipulation, 3D perception, and soft robot control.

Please check out my CV, Google Scholar, and GitHub.

I’m currently seeking postdoctoral opportunities in robotics. If my background sounds like a good fit, I’d love to hear from you!


Publication

Flow Matching Ergodic Coverage
Robotics: Science and Systems (RSS) 2025
Flow Matching Ergodic Coverage
Fast Ergodic Search with Kernel Functions
IEEE Transactions on Robotics (T-RO), 2025
Fast Ergodic Search with Kernel Functions
Mixed Strategy Nash Equilibrium for Crowd Navigation
The International Journal of Robotics Research (IJRR), 2024
Mixed Strategy Nash Equilibrium for Crowd Navigation
Automated Gait Generation For Walking, Soft Robotic Quadrupeds
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Automated Gait Generation For Walking, Soft Robotic Quadrupeds
Scale-Invariant Fast Functional Registration
International Symposium of Robotics Research (ISRR) 2022
Scale-Invariant Fast Functional Registration
Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation
Robotics: Science and Systems (RSS) 2021
Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation