Research on Path Optimization Method for Warehouse Inspection Robot

References

• Bao, X. G., G. J. Wang, L. Xu, and Z. C. Wang. 2023. Solving the min-max clustered traveling salesmen problem based on genetic algorithm. Biomimetics. 8 (2):13. Retrieved from :.//WOS:001014281300001. doi:10.3390/biomimetics8020238.
   PubMed Web of Science ®Google Scholar
• 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):1410–2335. doi:10.1007/s10489-020-01834-w.
   Web of Science ®Google Scholar
• Duguleana, M., and G. Mogan. 2016. Neural networks based reinforcement learning for mobile robots obstacle avoidance. Expert Systems with Applications 62:104–15. Retrieved from: //WOS:000380626000008. doi:10.1016/j.eswa.2016.06.021.
   Web of Science ®Google Scholar
• Garcia, M. A. P., O. Montiel, O. Castillo, R. Sepulveda, and P. Melin. 2009. Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation. Applied Soft Computing. 9 (3):1102–10. Retrieved from: //WOS:000265909000026. doi:10.1016/j.asoc.2009.02.014.
   Web of Science ®Google Scholar
• Gu, B. X., R. X. Jiang, X. S. Liu, and Y. W. Chen. 2023. Extreme sparse-array synthesis via iterative convex optimization and simulated-annealing expanded array. Electronics. 12 (6):10. Retrieved from: //WOS:000955291000001. doi:10.3390/electronics12061401.
   Web of Science ®Google Scholar
• Kadavy, T., M. Pluhacek, A. Viktorin, and R. Senkerik (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.
   Google Scholar
• Kalinov, I., D. Trinitatova, and D. Tsetserukou. (2021, Oct 17-20). WareVR: Virtual reality interface for supervision of autonomous robotic system aimed at warehouse stocktaking. Paper presented at the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Electr Network.
   Google Scholar
• Kuo, R. J., and W. C. Cheng. 2013. Hybrid meta-heuristic algorithm for job shop scheduling with due date time window and release time. International Journal of Advanced Manufacturing Technology 67 (1–4):59–71. Retrieved from: //WOS:000321117300006. doi:10.1007/s00170-013-4753-z.
   Web of Science ®Google Scholar
• Liang, H., H. Chen, Y. Lu, A. Farouk, D. Zhen, A. Farouk, and D. Zhen. 2019. Research on sensor error compensation of comprehensive logging unit based on machine learning. Journal of Intelligent & Fuzzy Systems 37 (3):3113–23. doi:10.3233/jifs-179114.
   Web of Science ®Google Scholar
• Majumder, A., A. Majumder, and R. Bhaumik. 2021. Teaching-learning-based optimization algorithm for path planning and task allocation in multi-robot plant inspection system. Arabian Journal for Science & Engineering 46 (9):8999–9021. Retrieved from: //WOS:000656091300001. doi:10.1007/s13369-021-05710-8.
   Web of Science ®Google Scholar
• Ming, L. Y., H. Huang, Y. Xu, G. C. Zhang, J. Y. Li, and H. D. Qin. 2019. Cognition-based hybrid path planning for autonomous underwater vehicle target following. International Journal of Advanced Robotic Systems 16 (4):11. Retrieved from: //WOS:000475612300001. doi:10.1177/1729881419857554.
   Web of Science ®Google Scholar
• Sik, K. D., Y. C. Ho, D. Kim, and 이동훈. 2014. Real-time hybrid path planning algorithm for mobile robot [이동로봇을 위한 실시간 하이브리드 경로계획알고리즘] 63 (1):115–22. doi:10.5370/kiee.2014.63.1.115. Retrieved from ://KJD:ART001843376.
   Google Scholar
• Sun, Y. (2023, Feb 25-27). Design of intelligent test paper generation system for online psychological testing based on ant colony algorithm. Paper presented at the 3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), Shenyang, PEOPLES R CHINA.
   Google Scholar
• Wang, J. G., N. Wang, and H. Y. Jiang (2015, Sep 19-20). Robot global path planning based on improved ant colony algorithm. Paper presented at the 5th International Conference on Advanced Design and Manufacturing Engineering (ICADME), Shenzhen, PEOPLES R CHINA.
   Google Scholar
• Wang, Y., Q. H. Wu, and F. Glover. 2017. Effective metaheuristic algorithms for the minimum differential dispersion problem. European Journal of Operational Research. 258 (3):829–43. Retrieved from: //WOS:000392770800003. doi:10.1016/j.ejor.2016.10.035.
   Web of Science ®Google Scholar
• Wang, L., H. Zhu, P. Li, C. G. Chen, S. Z. You, M. G. Li, and Z. Zhang (2019, Aug 08-11). The design of inspection robot navigation systems based on distributed vision. Paper presented at the 12th International Conference on Intelligent Robotics and Applications (ICIRA), Shenyang, PEOPLES R CHINA.
   Google Scholar
• Wei, P. C., and X. Shi (2010, May 15-16). Grid task scheduling strategy based on particle swarm optimization and ant colony optimization algorithm. Paper presented at the International Conference on Advanced Measurement and Test (AMT 2010), Sanya, PEOPLES R CHINA.
   Google Scholar
• Wu, C. J., S. J. Zhou, and L. C. Xiao. 2020. Dynamic path planning based on improved ant colony algorithm in traffic congestion. Institute of Electrical and Electronics Engineers Access 8:180773–83. Retrieved from: //WOS:000578638300001. doi:10.1109/access.2020.3028467.
   Google Scholar
• Xiong, N., X. Z. Zhou, X. Q. Yang, Y. Xiang, and J. Y. Ma. 2021. Mobile robot path planning based on time taboo ant colony optimization in dynamic environment. Frontiers in Neurorobotics 15:11. Retrieved from: //WOS:000628657500001. doi:10.3389/fnbot.2021.642733.
   Web of Science ®Google Scholar
• Xu, D. X. 2008. Enterprise reporting system design and implementation. [企业级报表系统的设计和实现]. Retrieved from: //PQDT:67615602.
   Google Scholar
• Xuan, R. H., Z. Li, and Y. Q. Wang. (2018, Nov 30-Nov 30). Path planning of intelligent vehicle based on optimized a* algorithm. Paper presented at the Chinese Automation Congress (CAC), Xian, PEOPLES R CHINA.
   Google Scholar
• Zhai, Y., L. Xu, and Y. Yang. (2015, Aug 26-27). Ant colony algorithm research based on pheromone update strategy. Paper presented at the 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), Hangzhou, PEOPLES R CHINA.
   Google Scholar
• Zhu, H. F., J. H. Lu, S. C. Gu, S. B. Wei, and Y. S. Guan. 2021. Planning three-dimensional collision-free optimized climbing path for biped wall-climbing robots. Institute of Electrical and Electronics Engineers-American Society of Mechanical Engineers Transactions on Mechatronics 26 (5):2712–23. Retrieved from: //WOS:000707442500045. doi:10.1109/tmech.2020.3045089.
   Google Scholar
• Zou, Q., H. Wang, W. Huang, and J. Pan (2013, Sep 21-23). Ant colony optimization algorithm in intrusion detection and positive. Paper presented at the 3rd International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation(CDMMS 2013), Chongqing, PEOPLES R CHINA.
   Google Scholar