J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (1): 86-99.doi: 10.1007/s12204-023-2572-4
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LI Erchao∗ (李二超), QI Kuankuan (齐款款)
Received:
2021-12-30
Online:
2023-01-28
Published:
2023-02-10
CLC Number:
LI Erchao∗ (李二超), QI Kuankuan (齐款款). Ant Colony Algorithm Path Planning Based on Grid Feature Point Extraction[J]. J Shanghai Jiaotong Univ Sci, 2023, 28(1): 86-99.
[1] CHEN W W, YAN G Z, WANG Z W, et al. Intestinal biopsy endoscopic robot system [J]. Journal of Shanghai Jiao Tong University, 2014, 48(5): 674-678 (in Chinese). [2] GARDU?O-APARICIO M, RODRíGUEZRESéNDIZ J, MACIAS-BOBADILLA G, et al. A multidisciplinary industrial robot approach forteaching mechatronics-related courses [J]. IEEE Transactions on Education, 2018, 61(1): 55-62. [3] PALACIN J, SALSE J A, VALGANON I, et al. Building a mobile robot for a floor-cleaning operation in domestic environments [J]. IEEE Transactions on Instrumentation and Measurement, 2004, 53(5): 1418-1424. [4] WANG B Y, LIU Z, LI Q B, et al. Mobile robot path planning in dynamic environments through globally guided reinforcement learning [J]. IEEE Robotics and Automation Letters, 2020, 5(4): 6932-6939. [5] LI S F, CHENG C Y. Particle swarm optimization with fitness adjustment parameters [J]. Computers & Industrial Engineering, 2017, 113: 831-841. [6] SONG B Y, WANG Z D, SHENG L. A new genetic algorithm approach to smooth path planning for mobile robots [J]. Assembly Automation, 2016, 36(2): 138-145. [7] ZHANG A, LI C, BI W H. Rectangle expansion A? pathfinding for grid maps [J]. Chinese Journal of Aeronautics, 2016, 29(5): 1385-1396. [8] ZHANG Y X, WANG Y Q, LI S, et al. Global path planning for AUV based on charts and the improved particle swarm optimization algorithm [J]. Robot, 2020, 42(1): 120-128 (in Chinese). [9] BAO H, ZHU H T, LIU D. Path planning of mobile robot based on ±3σ normal probability interval population division using genetic ant-colony algorithm [J]. Control and Decision, 2021, 36(12): 2861-2870 (in Chinese). [10] DUCHO F, BABINEC A, KAJAN M, et al. Path planning with modified a star algorithm for a mobile robot [J]. Procedia Engineering, 2014, 96: 59-69. [11] SUN L. A real-time collision-free path planning of a rust removal robot using an improved neural network [J]. Journal of Shanghai Jiao Tong University (Science), 2017, 22(5): 633-640. [12] ZHANG Y, QUAN H, WEN J F. Mobile robot path planning based on the wolf ant colony hybrid algorithm [J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 48(1): 127-132 (in Chinese). [13] ZHANG Q, CHEN B K, LIU X Y, et al. Ant colony optimization with improved potential field heuristic for robot path planning [J]. Transactions of the Chinese Society for Agricultural Machinery, 2019, 50(5): 23-32 (in Chinese). [14] XU L, FU W H, JIANG W H, et al. Mobile robots path planning based on 16-directions 24-neighborhoods improved ant colony algorithm [J]. Control and Decision, 2021, 36(5): 1137-1146 (in Chinese). [15] ZHAO J P, GAO X W, LIU J G, et al. Parameters self-adaptive fuzzy ant colony optimization algorithm with searching window for path planning of mobile robot [J]. Control and Decision, 2011, 26(7): 1096-1100 (in Chinese). [16] WU X X, WEI G L, SONG Y, et al. Improved ACO based path planning with rollback and death strategies [J]. Systems Science & Control Engineering, 2018, 6(1): 102-107. [17] KANG B, WANG X H, LIU F. Path planning of searching robot based on improved ant colony algorithm [J]. Journal of Jilin University (Engineering and Technology Edition), 2014, 44(4): 1062-1068 (in Chinese). [18] AO B Q, YANG S, YE Z H. Improved ant colony algorithm for unmanned surface vehicle smooth path planning [J]. Control Theory & Applications, 2021(7): 1006-1014 (in Chinese). [19] PAN J, WANG X S, CHENG Y H. Improved ant colony algorithm for mobile robot path planning [J]. Journal of China University of Mining & Technology, 2012, 41(1): 108-113 (in Chinese). [20] ZHANG S Y, GUO B L, CHEN L Z, et al. Path planning of intelligent fire evacuation map based on bidirectional ant colony algorithm [J]. Computer Engineering and Applications, 2021(14): 259-266 (in Chinese). [21] HU H M, YU X C. Improved ant colony path planning algorithm based on bidirectional search strategy [J]. Agricultural Equipment & Vehicle Engineering, 2019, 57(7): 9-12 (in Chinese). [22] ZHAO J, TANG Y F, JIANG G P, et al. Mobile robot path planning based on improved ant colony algorithm [J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2019, 39(6): 73-78 (in Chinese). [23] YOU H L, LU Z Q. A fast ant colony algorithm for α, β and ρ adaptive adjustment [J]. Manufacturing Automation, 2018, 40(6): 99-102 (in Chinese). |
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