2023
DOI: 10.3390/machines11020209
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Bidirectional RRT*-Based Path Planning for Tight Coordination of Dual Redundant Manipulators

Abstract: There are closed-chain constraints between the left manipulator and the right manipulator in tight coordination of the dual redundant manipulator. The existing planning algorithms suitable for loose coordination cannot be directly applied to tight coordination, as the planned path cannot satisfy the closed-chain constraints. To solve the above problem, a master-slave planning method based on bidirectional RRT* is proposed for dual redundant manipulators. Bidirectional RRT* is adopted to plan the path of the ma… Show more

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Cited by 2 publications
(1 citation statement)
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“…The study of the fusion of RRT-connect and RRT*-based algorithms is also a branch of the study of improved RRT-based algorithms. The B-RRT* algorithm [ 47 ] directly fuses RRT-connect and RRT* and also inherits the advantages of both algorithms. To improve the obstacle avoidance efficiency of the redundant robotic arm, Dai et al [ 8 ] propose a B-RRT* based on a novel potential field guidance (PB-RRT*), and the results show that the proposed algorithm plan shorter paths, larger gap between the manipulator and the obstacle and fewer invalid nodes when compared with the B-RRT*.…”
Section: Overview Of Rrt-based Algorithm Improvementsmentioning
confidence: 99%
“…The study of the fusion of RRT-connect and RRT*-based algorithms is also a branch of the study of improved RRT-based algorithms. The B-RRT* algorithm [ 47 ] directly fuses RRT-connect and RRT* and also inherits the advantages of both algorithms. To improve the obstacle avoidance efficiency of the redundant robotic arm, Dai et al [ 8 ] propose a B-RRT* based on a novel potential field guidance (PB-RRT*), and the results show that the proposed algorithm plan shorter paths, larger gap between the manipulator and the obstacle and fewer invalid nodes when compared with the B-RRT*.…”
Section: Overview Of Rrt-based Algorithm Improvementsmentioning
confidence: 99%