Sampling-based algorithms for optimal motion planning using closed-loop prediction
Motion planning under differential constraints is one of the canonical problems in robotics.
State-of-the-art methods evolve around kinodynamic variants of popular sampling-based …
State-of-the-art methods evolve around kinodynamic variants of popular sampling-based …
Incremental sampling-based motion planners using policy iteration methods
Recent progress in randomized motion planning has led to the development of a new class
of sampling-based algorithms that provide asymptotic optimality guarantees, almost surely …
of sampling-based algorithms that provide asymptotic optimality guarantees, almost surely …