Abstract
This paper presents an approach that combines geometry processing with motion planning to enable a robot to efficiently navigate in unstructured environments. The proposed approach relies on a novel oversegmentation method to produce a decomposition of the free space into a set of connected regions. This provides a general and simplified planning layer with navigational routes along which sampling-based motion planning expands a tree of collision-free and dynamically feasible motions to reach the goal. Experiments using robot models with nonlinear dynamics operating in complex environments show significant speedups over related work.
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Plaku, E., Plaku, E., & Simari, P. (2017). Direct Path Superfacets: An Intermediate Representation for Motion Planning. IEEE Robotics and Automation Letters, 2(1), 350–357. https://doi.org/10.1109/LRA.2016.2619381
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