In response to the insufficient automation level of the packaging automation production line logistics system in a certain laboratory, this paper designs a grasping robot equipped with Automated Guided Vehicles (AGVs). The study conducts kinematic analysis and verification of the grasping robot model, and controls AGV path planning algorithms in a simulated environment. This enables the robot to perform cargo grasping and autonomous path planning functions in a known environment. A feasible logistics robot design scheme is proposed to enhance the automation and production efficiency of the logistics system, providing reference and inspiration for further automation improvement efforts.

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Kinematic Modeling and Path Planning Strategies of Intelligent AGV Robots in Logistics Environments

  • Ximiao Sun

摘要

In response to the insufficient automation level of the packaging automation production line logistics system in a certain laboratory, this paper designs a grasping robot equipped with Automated Guided Vehicles (AGVs). The study conducts kinematic analysis and verification of the grasping robot model, and controls AGV path planning algorithms in a simulated environment. This enables the robot to perform cargo grasping and autonomous path planning functions in a known environment. A feasible logistics robot design scheme is proposed to enhance the automation and production efficiency of the logistics system, providing reference and inspiration for further automation improvement efforts.