Abstract:In practical applications, sorting scenarios may involve objects of different shapes, sizes, weights, and materials, as well as different sorting requirements and working environments. The system needs to be able to recognize and process the characteristics of various sorting targets, and dynamically adjust control strategies based on environmental conditions and task requirements. Therefore, a multi robotic industrial robot sorting control system based on adaptive fuzzy logic is designed and developed. Design machine vision equipment, pose sensors, data processors, sorting execution controllers, and servo drivers, and achieve hardware design of industrial robot sorting control system through system circuit connections. Detecting the initial sorting pose of multi robotic arm industrial robots, identifying sorting targets through pre-processing of sorting target images, feature extraction, feature matching, and other steps, and determining the sorting target position and geometric parameters. Based on the recognition results, the robot target pose and grasping parameters are calculated as control targets. Under spatial constraints, an adaptive fuzzy logic algorithm is used to generate robot sorting control instructions. Considering grasping priority, the system achieves multi arm industrial robot sorting control function. The conclusion drawn from system testing experiments is that the position and gripping force control errors of the designed system are relatively low, and the sorting speed of the robot is significantly improved through the application of this control system.
