Path Planning of Mobile Robot Based on MOBDB-RRT* Algorithm

ZHANG Rui; ZHOU Li; LIU Zhenkai

doi:10.3969/j.issn.1671-637x.2022.07.003

Journals >Electronics Optics & Control >Volume 29 >Issue 7 >Page 12 > Article

Electronics Optics & Control
Vol. 29, Issue 7, 12 (2022)

Path Planning of Mobile Robot Based on MOBDB-RRT* Algorithm

ZHANG Rui¹, ZHOU Li^1、2, and LIU Zhenkai¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2022.07.003 Cite this Article

ZHANG Rui, ZHOU Li, LIU Zhenkai. Path Planning of Mobile Robot Based on MOBDB-RRT* Algorithm[J]. Electronics Optics & Control, 2022, 29(7): 12 Copy Citation Text

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References

[9] LAVALLE S.Rapidly-exploring random trees:a new tool for path planning［R］.Ames:Iowa State University, 1998.

[10] KUFFNER J J, LAVALLE S M.RRT-connect:an efficient approach to single-query path planning［C］//IEEE International Conference on Robotics and Automation.San Francisco:IEEE, 2002:995-1001.

[11] KARAMAN S, FRAZZOLI E.Sampling-based algorithms for optimal motion planning［J］.The International Journal of Robotics Research, 2011, 30(7):846-894.

[12] JORDAN M, PEREZ A.Optimal bidirectional rapidly- exploring random trees［R］.Cambridge: Massachusetts Institute of Technology, 2013.

[13] NASIR J, ISLAM F, MALIK U, et al.RRT*-smart:a ra-pid convergence implementation of RRT*［J］.International Journal of Advanced Robotic Systems, 2013, 10(4):1-12.

ZHANG Rui, ZHOU Li, LIU Zhenkai. Path Planning of Mobile Robot Based on MOBDB-RRT* Algorithm[J]. Electronics Optics & Control, 2022, 29(7): 12

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