Home /Research /Generic Path Planning Algorithm for Mobile Robots Based on Bézier Curves
OTHER

Generic Path Planning Algorithm for Mobile Robots Based on Bézier Curves

Riccardo Costanzi, Francesco Fanelli, Enrico Meli, Alessandro Ridolfi, Benedetto Allotta

Year
2016
Citations
17

Abstract

The availability of an ecient and reliable path planning strategy is a great benet to mobile robots. Being able to intelligently connect a series of waypoints is a crucial requirement for the execution of autonomous navigation tasks. Several performance indices can be used to evaluate the goodness of a path, including its length and smoothness. In this paper, the authors focus on planar path planning for mobile robots; Bezier curves are employed, optimizing the computed path with respect to length and curvature, the latter used as a measure of smoothness. Due to the complexity of the objective function, optimization is performed by means of a direct search method. The proposed approach aims at generating paths oering advantages to mobile robots navigation in terms of controllability and reducing the related power consumption. The performed tests show that the presented method allows to achieve interesting results, suggesting its viability as a suitable path planning strategy for dierent kinds of mobile robots.

Keywords

SmoothnessMotion planningControllabilityMobile robotComputer sciencePath (computing)RobotAny-angle path planningCurvatureBézier curve

Related papers

Browse all OTHER papers