AUTOMATED GUIDED VEHICLES
As part of this project, we utilized advanced ML techniques to optimize the task allocation
process for AGV (Automated Guided Vehicles). Through our modern neural network and
reinforcement learning algorithms, we were able to optimize the selection of AGVs for each
task, leading to increased operational efficiency and better resource utilization.
With technologies such as PyTorch, Stable Baselines, and TensorBoard, we were able to monitor
and visualize our progress in real-time. Our research into various learning methods allowed us
to choose optimal solutions, resulting in the development of a system that significantly
improves the task allocation process in this company.
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