Abstract: This paper proposes a curvature-constrained pathfinding approach that aims to minimize the total sum of the turning angles on road networks. We employ an A* search modified to account for ...
Abstract: Efficient robot path planning in obstacle-strewn environments remains a challenging task, especially in bin-picking applications. In the industrial context, bin picking involves the ...
This is the code repository for the paper "Graph Attention-Guided Search for Dense Multi-Agent Pathfinding" introducing LaGAT. LaGAT combines a neural policy heuristic, an enhanced MAGAT+ model, with ...
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