Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments
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Beschreibung
Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state × time lattices with variable dimensionality and multiple resolutions. The adaptive planning method makes it possible to rapidly plan local maneuvers while still pursuing global optimality.
Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state × time lattices with variable dimensionality and multiple resolutions. The adaptive planning method makes it possible to rapidly plan local maneuvers while still pursuing global optimality.
Autor*in
Janko Petereit
Themen in »Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments«
motion planning Mobile Roboter Pfadplanung autonomous driving Hindernisvermeidung Bewegungsplanung autonomes Fahren Mobile robots path planning obstacle avoidance