Mark W. Mueller leads the High Performance Robotics Laboratory (HiPeRLab), where research focuses on design and autonomy of aircraft. The group has expertise in building and experimentally evaluating aerial robotics. Methods of interest include optimal and robust control, as well as learning-based methods. Mueller received a B.Eng. in mechanical and aeronautical engineering from the University of Pretoria, and then M.Sc. and Dr.Sc. from ETH Zurich (Switzerland). Mueller is lead inventor on multiple commercially used patents, and currently serves as associate faculty director of aerospace programs at UC Berkeley.
Relevant expertise:
- Learning highly adaptive controllers for autonomous aircraft: creating learning-based systems to predict and execute emergency maneuvers for autonomous operations, including emergency landings and fault tolerance
- Estimation and planning: algorithms for state estimation, including GPS-denied autonomy, with a focus on both robustness and safety, as well as performance.