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Dartmouth College
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MPC-Injection achieves usable locomotion gaits with minimal overhead, outperforming traditional reward shaping and imitation learning techniques.
Achieving up to 58 times faster performance than traditional solvers, TurboMPC revolutionizes the application of differentiable model predictive control in robotics.
Achieving up to 5x faster solutions for conic LQ control problems by harnessing parallel computing could revolutionize real-time control systems.
