Abstract:
This article discusses the development of a Dobot-based automated sorting system for
products. Improving the speed and efficiency of sorting processes, as well as reducing manual labor costs
in various industries and agriculture, is an urgent task.
Àim. The study aims to advance the sorting process by developing and implementing an automated
system to control it.
Materials and methods. The main sorting criteria are the position, color, and temperature of the object.
A robotic manipulator controlled by DobotStudio and Arduino IDE software are selected as the actuator
of the control system. The sensor system consists of a diffusion photoelectric sensor, a color sensor and a
temperature sensor.
Results. A cyclic sort algorithm is presented, including the sensor-based sorting, a robotic arm that
sorts objects based on their specified parameters. A three-dimensional (3D) model of the system has been
developed, which helps to test the operability of the algorithm. Five series of experiments were conducted
using two sorting methods: manual sorting and the developed control system.
Conclusions. As a result of implementing the developed management system, we are able to increase
productivity by 20% and improve the quality of sorting. The implementation of the developed system
reduces the number of defective products and lead to an increase in the productive efficiency.
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