Evolutionary Algorithm-Based Energy-Aware Path Planning with a Quadrotor for Warehouse Inventory Management
Abstract
Doi: 10.28991/HIJ-2023-04-04-012
Full Text: PDF
Keywords
References
Fernández-Caramés, T. M., Blanco-Novoa, O., Froiz-Míguez, I., & Fraga-Lamas, P. (2019). Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management. Sensors (Basel, Switzerland), 19(10), 2394. doi:10.3390/s19102394.
Malang, C., Charoenkwan, P., & Wudhikarn, R. (2023). Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review. Drones, 7(2), 80. doi:10.3390/drones7020080.
Kalinov, I., Petrovsky, A., Ilin, V., Pristanskiy, E., Kurenkov, M., Ramzhaev, V., Idrisov, I., & Tsetserukou, D. (2020). WareVision: CNN Barcode Detection-Based UAV Trajectory Optimization for Autonomous Warehouse Stocktaking. IEEE Robotics and Automation Letters, 5(4), 6647–6653. doi:10.1109/LRA.2020.3010733.
Kwon, W., Park, J. H., Lee, M., Her, J., Kim, S. H., & Seo, J. W. (2020). Robust Autonomous Navigation of Unmanned Aerial Vehicles (UAVs) for Warehouses’ Inventory Application. IEEE Robotics and Automation Letters, 5(1), 243–249. doi:10.1109/LRA.2019.2955003.
Campbell, J., Corberán, Á., Plana, I., Sanchis, J. M., & Segura, P. (2023). The multi-purpose K-drones general routing problem. Networks, 82(4), 437–458. doi:10.1002/net.22176.
Alajami, A. A., Moreno, G., & Pous, R. (2022). Design of a UAV for Autonomous RFID-Based Dynamic Inventories Using Stigmergy for Mapless Indoor Environments. Drones, 6(8), 208. doi:10.3390/drones6080208.
Yang, S. Y., Jan, H. C., Chen, C. Y., & Wang, M. S. (2023). CNN-Based QR Code Reading of Package for Unmanned Aerial Vehicle. Sensors, 23(10), 4707. doi:10.3390/s23104707.
Di Franco, C., & Buttazzo, G. (2016). Coverage Path Planning for UAVs Photogrammetry with Energy and Resolution Constraints. Journal of Intelligent and Robotic Systems: Theory and Applications, 83(3–4), 445–462. doi:10.1007/s10846-016-0348-x.
Yan, X., Chen, R., & Jiang, Z. (2023). UAV Cluster Mission Planning Strategy for Area Coverage Tasks. Sensors, 23(22), 9122. doi:10.3390/s23229122.
Na, Y., Li, Y., Chen, D., Yao, Y., Li, T., Liu, H., & Wang, K. (2023). Optimal Energy Consumption Path Planning for Unmanned Aerial Vehicles Based on Improved Particle Swarm Optimization. Sustainability (Switzerland), 15(16), 12101. doi:10.3390/su151612101.
Liu, H., Chen, Q., Pan, N., Sun, Y., An, Y., & Pan, D. (2022). UAV Stocktaking Task-Planning for Industrial Warehouses Based on the Improved Hybrid Differential Evolution Algorithm. IEEE Transactions on Industrial Informatics, 18(1), 582–591. doi:10.1109/TII.2021.3054172.
Aggarwal, S., & Kumar, N. (2020). Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges. Computer Communications, 149, 270–299. doi:10.1016/j.comcom.2019.10.014.
Shao, S., Peng, Y., He, C., & Du, Y. (2020). Efficient path planning for UAV formation via comprehensively improved particle swarm optimization. ISA Transactions, 97, 415–430. doi:10.1016/j.isatra.2019.08.018.
Xu, L., Cao, X., Du, W., & Li, Y. (2023). Cooperative path planning optimization for multiple UAVs with communication constraints. Knowledge-Based Systems, 260, 110164. doi:10.1016/j.knosys.2022.110164.
Bitcraze (2022). Crazyflie 2.1. Available online: https://www.bitcraze.io/products/crazyflie-2-1/ (accessed on June 2023).
DOI: 10.28991/HIJ-2023-04-04-012
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Timothy Scott C Chu