In this work, a new and insightful analysis aiding future designs of this class of heuristic bug-based planners is provided.

In this work, a new and insightful analysis aiding future designs of this class of heuristic bug-based planners is provided. A rigorous proof for a modified.

Development and Analysis of an Improved Prototype within a Class of Bug-based Heuristic Path Planners ... developed for computing geometric shortest paths in ...

Development and Analysis of an Improved Prototype within a Class of Bug-based Heuristic Path Planners. Y. Lai, P. Vadakkepat, A. Mamun, C. Xiang, and T. Lee ...

Development and Analysis of an Improved Prototype within a Class of Bug-based Heuristic Path Planners. 2021 IEEE 30th International Symposium on Industrial ...

Sep 18, 2024 · Development and Analysis of an Improved Prototype within a Class of Bug-based Heuristic Path Planners. ISIE 2021: 1-6. [+][–]. Coauthor ...

R2 is a novel online any-angle path planner that uses heuristic bug-based or ray casting approaches to find optimal paths in 2D maps with non-convex, polygonal ...

Development and Analysis of an Improved Prototype within a Class of Bug-based Heuristic Path Planners. Y. Lai, P. Vadakkepat, A. Mamun, C. Xiang, and T. Lee ...

Lai Y.K., Vadakkepat P., Al Mamun A., Xiang C., Lee T.H.. Development and analysis of an improved prototype within a class of bug-based heuristic path planners.

We compare five any-angle path-planning algorithms, Theta*, Block A*, Field D*, ANYA, and Any-Angle Subgoal Graphs in terms of solution quality and runtime.