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Box-iLQR: Constraint-Aware Feedback via Finite-Barrier Trajectory Optimization
Iterative Linear Quadratic Regulator (iLQR) and Differential Dynamic Programming (DDP) are attractive trajectory-optimization methods because their backward recursions provide both nominal trajectories and local time-varying feedback laws. Hard state and input constraints, however, can drive solutio
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