Goal-Conditioned Learning MPC
Explored a goal-conditioned, data-driven MPC pipeline that learns transition costs between feasible states from closed-loop trajectories via imitation learning.
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Explored a goal-conditioned, data-driven MPC pipeline that learns transition costs between feasible states from closed-loop trajectories via imitation learning.
Co-implemented a ROS-based perception stack and connected it to an MPC planner and low-level controller to enable evasive maneuvers on a physical rover deployed in solar panel …