Research Labs

Robotics Autonomy and Planning Lab (RAP Lab)

Description:

We research Robotics, Autonomy and Planning, with the focus on fundamental motion planning and path planning problems for single and multiple robots in dynamic, interactive and unknown environments. We leverage and advance the frontier of combinatorial search, optimal control and mixed integer programming approaches. The problems we addressed are often NP-hard, and our research exploits the underlying structure of these problems to develop algorithms that balance between runtime efficiency and solution quality with rigorous guarantees, while being deployable to physical robots. These problems arise in warehouse logistics, manufacturing and search-and-rescue.