1,583
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Research on Automatic Path Planning Method of Warehouse Inspection Robot

&
Article: 2252262 | Received 06 Feb 2023, Accepted 21 Aug 2023, Published online: 30 Aug 2023

References

  • Ali, E. S., R. A. El-Sehiemy, A. A. Abou El-Ela, S. Kamel, and B. Khan. 2022. Optimal planning of uncertain renewable energy sources in unbalanced distribution systems by a multi-objective hybrid PSO-SCO algorithm. IET Renewable Power Generation 16 (10):2111–2321. Retrieved from ://WOS:000790715100001. doi:10.1049/rpg2.12499.
  • Bilandi, N., H. K. Verma, and R. Dhir. 2020. hPSO-SA: Hybrid particle swarm optimization-simulated annealing algorithm for relay node selection in wireless body area networks. Applied Intelligence 51 (3):1410–38. doi:10.1007/s10489-020-01834-w.
  • Bogaerts, B., S. Sels, S. Vanlanduit, and R. Penne. 2018. A gradient-based inspection path optimization approach. IEEE Robotics and Automation Letters. 3 (3):2646–53. Retrieved from ://WOS:000431438800002. doi:10.1109/lra.2018.2827161.
  • Cao, B., W. P. Liu, B. A. Li, and K. Liu 2020, Oct 14-16. ADS-B ground station site selection analysis based on intelligent algorithm. Paper presented at the 2nd IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Wuhan, PEOPLES R CHINA.
  • Guo, B., Z. Kuang, J. H. Guan, M. T. Hu, L. X. Rao, and X. Q. Sun. 2022. An improved a-star algorithm for complete coverage path planning of unmanned ships. International Journal of Pattern Recognition and Artificial Intelligence. 36 (3):23. Retrieved from ://WOS:000773769300003. doi:10.1142/s0218001422590091.
  • He, Z. B., C. G. Liu, X. M. Chu, R. R. Negenborn, and Q. Wu. 2022. Dynamic anti-collision A-star algorithm for multi-ship encounter situations. Applied Ocean Research 118:16. Retrieved from ://WOS:000783097600004. doi:10.1016/j.apor.2021.102995.
  • Kadavy, T., M. Pluhacek, A. Viktorin, and R. Senkerik 2018, 2018 Jun 03-07. Multi-swarm optimization algorithm based on firefly and particle swarm optimization techniques. Paper presented at the 17th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, POLAND.
  • Lawande, S. R., G. Jasmine, J. Anbarasi, and L. I. Izhar. 2022. A systematic review and analysis of intelligence-based pathfinding algorithms in the field of video games. Applied Sciences 12 (11):5499. doi:10.3390/app12115499.
  • Li, F., J. Lei, W. B. Wang, and B. Song. 2022. Optimal design and experimental verification of a four-claw seedling pick-up mechanism using the hybrid PSO-SA algorithm. Spanish Journal of Agricultural Research. 20 (3):16. Retrieved from ://WOS:000865955600006. doi:10.5424/sjar/2022203-18065.
  • Li, Y., W. Zou, W. H. He, Y. Liu, K. Yuan, and Leee. 2011, Jun 21-25. A robot automatic inspection system for RFID intelligent warehouse. Paper presented at the 9th World Congress on Intelligent Control and Automation (WCICA), Taipei, TAIWAN.
  • Liao, Y. F., S. P. Xiong, Y. Y. Huang, and Lop. 2020, Oct 10-11. Research on fire inspection robot based on computer vision. Paper presented at the Asia Conference on Geological Research and Environmental Technology (GRET), Electr Network.
  • Liu, H. X., and Y. H. Zhang. 2022. ASL-DWA: An improved a-star algorithm for indoor cleaning robots. IEEE Access 10:99498–515. Retrieved from ://WOS:000861358000001. doi:10.1109/access.2022.3206356.
  • Liu, L. S., B. Wang, and H. Xu. 2022. Research on path-planning algorithm integrating optimization A-Star algorithm and artificial potential field method. Electronics. 11 (22):21. Retrieved from ://WOS:000887099400001. doi:10.3390/electronics11223660.
  • Liu, Y., W. Zhao, T. Lutz, and X. Yue. 2021. Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems. Journal of Intelligent Manufacturing. 33 (8):2457–70. Retrieved from ://PPRN:11864362. doi:10.1007/s10845-021-01803-1.
  • Malayjerdi, E., R. Sell, M. Malayjerdi, A. Udal, and M. Bellone. 2022. Practical path planning techniques in overtaking for autonomous shuttles. Journal of Field Robotics. 39 (4):410–25. Retrieved from ://WOS:000741325400001. doi:10.1002/rob.22057.
  • Nath, P., S. Dey, S. Nath, A. Shankar, J. K. Sing, and S. K. Sarkar 2022, Feb 26-27. VLSI routing optimization using hybrid PSO based on reinforcement learning. Paper presented at the 3rd IEEE Conference on VLSI Device, Circuit and System (IEEE VLSI DCS), Meghnad Saha Inst Technol, Kolkata, INDIA.
  • Shamilyan, O., I. Kabin, Z. Dyka, P. Langendoerfer, and Leee. 2022, Jun 07-10. Distributed artificial intelligence as a means to achieve self-X-Functions for increasing resilience: The first steps. Paper presented at the 11th Mediterranean Conference on Embedded Computing (MECO)/3rd Summer School on Cyber-Physical + Systems and Internet of Things (CPS and IoT), Budva, MONTENEGRO.
  • Sheela, M. S., and C. A. Arun. 2022. Hybrid PSO-SVM algorithm for Covid-19 screening and quantification. International Journal of Information Technology: An Official Journal of Bharati Vidyapeeth’s Institute of Computer Applications and Management 14 (4):2049–56. Retrieved from ://MEDLINE:35036828. doi:10.1007/s41870-021-00856-y.
  • Sohouli, A. N., H. Molhem, and N. Zare-Dehnavi. 2022. Hybrid PSO-GA algorithm for estimation of magnetic anomaly parameters due to simple geometric structures. Pure & Applied Geophysics. 179 (6–7):2231–54. Retrieved from ://WOS:000830371200002. doi:10.1007/s00024-022-03048-2.
  • Wang, X., X. Ma, and Z. Li. 2023. Research on SLAM and path planning method of inspection robot in complex scenarios. Electronics. 12 (10):2178. Retrieved from ://PPRN:67082354. doi:10.20944/preprints202304.0219.v1.
  • Wang, X., X. Zhou, Z. Xia, and X. Gu. 2021. A survey of welding robot intelligent path optimization. Journal of Manufacturing Processes 63:14–23. Retrieved from ://WOS:000629573300001. doi:10.1016/j.jmapro.2020.04.085.
  • Zhang, X., S. G. Liu, Z. Xiang, and Leee. 2019, Nov 22-24. Optimal inspection path planning of substation robot in the complex substation environment. Paper presented at the Chinese Automation Congress (CAC), Hangzhou, PEOPLES R CHINA.
  • Zhao, L., and M. Y. Zhou. 2022. A robust power allocation algorithm for cognitive radio networks based on hybrid PSO. Sensors. 22 (18):14. Retrieved from ://WOS:000856946100001. doi:10.3390/s22186796.