PRF-MPC guarantees recursive feasibility with a user-specified probability by enforcing distributional consistency in predictors and probabilistic containment of safe sets across future time steps.
Proceedings of the IEEE/CVF international conference on computer vision , pages=
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Probabilistic Recursively Feasible Motion Planning Under Uncertain Environments
PRF-MPC guarantees recursive feasibility with a user-specified probability by enforcing distributional consistency in predictors and probabilistic containment of safe sets across future time steps.