Development of multirobot painting control system with realtime monitoring

Accepted for publishing in The 20th IEEE International Conference on Control & Automation (IEEE ICCA 2026)

This ongoing project focuses on the development of a multirobot painting control system with real-time monitoring for automated industrial production. The goal of the system is to increase process efficiency, reliable system, and remove human operators from hazardous working environments by using coordinated robotic manipulators and intelligent control logic.

The system integrates a ** collaborative RoArm M2s manipulators** and and industrial KUKA KR10 R1100-2 manipulator, all low level commands made by PLC SIMATIC s7-1500, and high-level coordination and operation is made by MATLAB/SYMULINK. The whole process consistes of 3 main stages such as painting process, drying process and pick and place process.

Highlights:

  • MATLAB/SYMULINK: Path plannig, coordination and real time monitoring of robot, such as torque, current, velocity and voltage
  • PLC SIMATIC S7-1500S: low level coordination, via OPC UA, SCADA system integraion, and hmi visualization
  • Mathematical model conveyor belt mathematical model, stability and different regulators integration such as LQR and PID

Project repository (GitHub)

Program realization:



This project universle system, which can be implemetant to any INDUSTRY 5.O, and right now, working on integration of reinforcement learning, in order to make system more accurate and data-driven system.