Safe, learning-based model predictive control (MPC) algorithms for autonomous robots that enable performance and constraint satisfaction under uncertainties and external disturbances. 

Design, analysis, and implementation of reinforcement learning algorithms for control of autonomous systems.

Design, analysis, and implementation of reinforcement learning algorithms for control of autonomous systems.

Vision-based navigation, SLAM, perception, and sensor fusion algorithms for autonomous robots.

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