Jun 18, 2020 · We conclude that MPAA* should be the algorithm of choice in goal-directed navigation scenarios in which the heuristic is accurate, whereas D* ...
We conclude that MPAA* should be the algorithm of choice in goal-directed navigation scenarios in which the heuristic is accurate, whereas D*ExtraLite should be ...
We conclude that MPAA* should be the algorithm of choice in goal-directed navigation scenarios in which the heuristic is accurate, whereas D*ExtraLite should be ...
Multipath Adaptive A*: Factors That Influence Performance in Goal-Directed Navigation in Unknown Terrain. Hernandez Ulloa, Carlos; ;; Baier, Jorge A.
We conclude that MPAA* should be the algorithm of choice in goal-directed navigation scenarios in which the heuristic is accurate, whereas D*ExtraLite should be ...
We conclude that MPAA∗ should be the algorithm of choice in goal-directed navigation scenarios in which the heuristic is accurate, whereas D∗ExtraLite should be ...
Multipath Adaptive A* : Factors That Influence Performance in Goal-Directed Navigation in Unknown Terrain. account_box Hernández Ulloa, C. date_range ...
Multipath Adaptive A*: Factors That Influence Performance in Goal-Directed Navigation in Unknown Terrain. CH Ulloa, JA Baier, R Asin-Acha. IEEE Access 8 ...
Tree-AA* 10% faster than MPAA* consistently. - ResearchGate
www.researchgate.net › figure › Tree-A...
Multi-Path Adaptive A* (MPAA*) [11] and D*ExtraLite [12] are incremental heuristic search algorithms for goal-directed navigation which have been recently ...
A New Boolean Encoding for MAPF and its Performance ... Multipath Adaptive A*: Factors That Influence Performance in Goal-Directed Navigation in Unknown Terrain ...