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Jun 12, 2024 · The traditional approach to scheduling handles task assignment as a path planning problem, assuming the AGV/AMR plans the path from the current location to the ...
4 days ago · Automated guided vehicles (AGVs) have long been identified as a potential driver to improve system efficiency and lower labour costs in material handling ...
3 days ago · Guiding the AGVs effectively relies on good communication between the automated guided vehicles (AGVs) and the factory's control system. This case study ...
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May 26, 2024 · The proposed approach aims at reducing the preparation time by predicting the starting locations for future tasks and then making decisions on whether to send ...
Jun 8, 2024 · Abstract. This study addresses the challenge of enhancing the performance of predictive artificial neural network models through effective feature selection ...
8 days ago · In the first stage, a hybrid machine learning approach is devised to estimate maintenance times, including the improved complete ensemble empirical mode ...
4 days ago · They propose ScheduleNet, which is a general scheduler for solving multi-agent scheduling problems. This approach utilizes an agent-task graph to model ...
May 26, 2024 · The proposed method is validated with an ablation study and comparison with conventional methods such as random and zigzag. The experimental results demonstrate ...
May 24, 2024 · Various simulation scenarios are developed to simulate material flows by using different routing and scheduling rules and strategies. Drawing from the insights ...
May 27, 2024 · The rapid development and application of AMRs is important for Industry 4.0 and smart logistics. For large-scale dynamic flat warehouses, vision-based road ...