Robot Obstacle Avoidance and Path Planning Based on Improved Potential Field Ant Colony Method

REN Yan; ZHAO Hai-bo; XIAO Yong-jian

doi:10.3969/j.issn.1671-637x.2019.11.016

Journals >Electronics Optics & Control >Volume 26 >Issue 11 >Page 75 > Article

Electronics Optics & Control
Vol. 26, Issue 11, 75 (2019)

Robot Obstacle Avoidance and Path Planning Based on Improved Potential Field Ant Colony Method

REN Yan¹, ZHAO Hai-bo¹, and XIAO Yong-jian²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2019.11.016 Cite this Article

REN Yan, ZHAO Hai-bo, XIAO Yong-jian. Robot Obstacle Avoidance and Path Planning Based on Improved Potential Field Ant Colony Method[J]. Electronics Optics & Control, 2019, 26(11): 75 Copy Citation Text

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References

[4] YANG X, YANG W, ZHANG H J, et al.A new method for robot path planning based artificial potential field［C］//Industrial Electronics and Applications, IEEE, 2016: 1294- 1299.

[5] LAVALLE S M.Planning algorithms［M］.Cambridge: Cambridge University Press, 2006.

[6] DENG Y, ZHU W H.Multi-type ant system algorithm for the time dependent vehicle routing problem with time windows［J］.Journal of Systems Engineering and Electronics, 2018, 29(3): 625-638.

[12] KHATIB O.Real-time obstacle avoidance for manipulators and mobile robots［M］//COX I J, WILFONG G T.Autonomous robot vehicles.New York: Springer, 1986: 396-404.

CLP Journals

[1] WU Jian, JIANG Zejun, ZHU Xiaozhou, ZHANG Zhe. Rapid Penetration Path Planning of Stealth UAVs Based on Improved Ant Colony Optimization[J]. Electronics Optics & Control, 2023, 30(12): 18

REN Yan, ZHAO Hai-bo, XIAO Yong-jian. Robot Obstacle Avoidance and Path Planning Based on Improved Potential Field Ant Colony Method[J]. Electronics Optics & Control, 2019, 26(11): 75

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