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Estimation, Search, and Planning (ESP) Research Group

Adaptively Informed Trees (AIT*)

Source Code

AIT* is now in the Open Motion Planning Library (OMPL) and will be part of future binary releases. You can find details on how to download and install OMPL on their website.


Adaptively Informed Trees (AIT*) is an almost-surely asymptotically optimal path planning algorithm. It uses an asymmetric bidirectional search in which both searches continuously inform each other. This allows it to find initial solutions quickly by allocating computational resources on promising paths. AIT* outperforms other almost-surely asymptotically optimal algorithms (e.g., RRT* and BIT*) on problems with expensive edge evaluations by finding initial solutions as fast as RRT-Connect and converging to the optimum in an anytime manner.

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  1. MPStrubJDGammellAdaptively Informed Trees (AIT*): Fast asymptotically optimal path planning through adaptive heuristicsProceedings of the IEEE international conference on robotics and automation (ICRA)3191–3198