Design and Simulation of a Multi-AGV Warehouse System Using a Multi-Agent Reinforcement Learning Model
The proposed project revolves around the development of a multi-Agent Guided Vehicle warehouse system based on the multi-Agent Reinforcement Learning technique. The aim of the project is to create an intelligent coordination algorithm for the simultaneous operation of multiple AGVs within the contex...
Mechanical design & 3D modelingRobot kinematics & dynamicsMotion control systemsReinforcement learning (MARL, QMIX)MATLAB & Simulink simulationPython programmingSensor integration & embedded systemsPath planning & collision avoidanceMulti-agent coordinationData analysis & system optimization