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Journal Article

Shortest paths to obstacles for a polygonal Dubins car

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Robuffo Giordano,  P
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Robuffo Giordano, P., & Vendittelli, M. (2009). Shortest paths to obstacles for a polygonal Dubins car. IEEE Transactions on Robotics, 25(5), 1184-1191. doi:10.1109/TRO.2008.2011421.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C26E-3
Abstract
In this paper, we characterize the time-optimal trajectories leading a Dubins car in collision with the obstacles in its workspace. Due to the constant velocity constraint characterizing the Dubins car model, these trajectories form a sufficient set of shortest paths between any robot configuration and the obstacles in the environment. Based on these paths,we define and give the algorithm for computing a distance function that takes into account the nonholonomic constraints and captures the nonsymmetric nature of the system. The developments presented here assume that the obstacles and the robot are polygons although the methodology can be applied to different shapes.