2021 IEEE International Conference on Robotics and Automation (ICRA) 2021
DOI: 10.1109/icra48506.2021.9560854
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Cubic Bézier Local Path Planner for Non-holonomic Feasible and Comfortable Path Generation

Abstract: In the case of non-holonomic robot navigation, path planning algorithms such as Rapidly-exploring Random Tree (RRT) rarely provide feasible and smooth paths without the need of additional processing. Furthermore, in a transport context like power wheelchair navigation, passenger comfort should be a priority and influence path planning strategy. In this paper, we propose a local path planner which guarantees bounded curvature value and continuous Cubic Bézier piecewise curves connection. To simulate and test th… Show more

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Cited by 8 publications
(2 citation statements)
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“…For SHAPE TEST, thirty types of maps are automatically generated for each number of positive obstacles around the area of interest, varying the shape of the sinkhole. These maps are generated through a point connection script using cubic Bezier curves [ 53 ]. The criteria for autogeneration of the maps are explained in Table 7 .…”
Section: Methodsmentioning
confidence: 99%
“…For SHAPE TEST, thirty types of maps are automatically generated for each number of positive obstacles around the area of interest, varying the shape of the sinkhole. These maps are generated through a point connection script using cubic Bezier curves [ 53 ]. The criteria for autogeneration of the maps are explained in Table 7 .…”
Section: Methodsmentioning
confidence: 99%
“…To solve the online cooperative path planning problem for multiple quadrotors in unknown dynamic environments, Jia et al [ 147 ] establish the kinematic constraints for quadrotors and propose a spatio-temporal coordination strategy applicable to RRT. In addition, commonly used curve smoothing methods are also introduced into the RRT algorithm, including the Bezier curve-based RRT [ 83 , 107 , 148 ], B spline curve-based RRT [ 37 , 116 , 149 ].…”
Section: Overview Of Rrt-based Algorithm Improvementsmentioning
confidence: 99%