Abstract: Narrow passage scenarios pose significant challenges for path planning, especially for tasks requiring real-time performance. Traditional asymptotically converging sampling-based planners ...
Abstract: Dynamic programming and greedy heuristics represent two core paradigms in autonomous path planning, each balancing optimality and computational effort in different ways. This work implements ...
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