Motion Planning

Applications of autonomous robots in dynamic, uncertain environments, such as crowded traffic, overwhelmed workspace, or unexplored wilderness, has posed significant challenges to the design of motion planning algorithms. We develop efficient trajectory optimization approaches for autonomous vehicles to drive in a smooth and safe manner in structured traffic environments, and for robot swarms to efficiently coordinate and safely navigate in unknown environments.

Chang Liu (刘畅)
Chang Liu (刘畅)
Assistant Professor

My research interests include trajectory planning