Home /Research /WiTHy A<sup>*</sup>: Winding-Constrained Motion Planning for Tethered Robot using Hybrid A<sup>*</sup>
OTHER

WiTHy A<sup>*</sup>: Winding-Constrained Motion Planning for Tethered Robot using Hybrid A<sup>*</sup>

Vishnu S. Chipade, Rahul Kumar, Sze Zheng Yong

Year
2024
Citations
6

Abstract

In this paper, a variant of hybrid A* is developed to find the shortest path for a curvature-constrained robot, that is tethered at its start position, such that the tether satisfies user-defined winding angle constraints. A variant of tangent graphs is used as an underlying graph for searching a path using A<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">*</sup> in order to reduce the overall computation and define appropriate cost metrics to ensure winding angle constraints are satisfied. Conditions are provided under which the proposed algorithm is guaranteed to find a winding angle constrained path. The effectiveness and performance of the proposed algorithm are studied in simulation.

Keywords

RobotPhysicsMotion planningMotion (physics)Computer scienceArtificial intelligence

Related papers

Browse all OTHER papers