Informed sampling for asymptotically optimal path planning
Anytime almost-surely asymptotically optimal planners, such as RRT∗, incrementally find paths to every state in the search domain. This is inefficient once an initial solution is found, as then only states that can provide a better solution need to be considered. Exact knowledge of these states requ...
Автори: | Gammell, J, Barfoot, T, Srinivasa, S |
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Формат: | Journal article |
Опубліковано: |
IEEE
2018
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