Chuchu Chen

My research centers on probabilistic state estimation and robot dynamics: how robots infer hidden physical states from onboard sensing and predict the consequences of their actions. I study egocentric perception and contact-rich interaction, treating the robot and its environment as a coupled dynamical system. My goal is to connect sensing, dynamics, and uncertainty so robots can understand ongoing interactions and anticipate what happens next.

Building on my work in consistent and efficient visual–inertial estimation and SLAM, I pursue these questions in brownfield robotics, particularly existing warehouses where robots must work alongside people and established infrastructure. My long-term vision is robots that understand and work within the physical world, without requiring the world to be engineered around them.