A Novel Disassembly Strategy of Hexagonal Screws Based on Robot Vision and Robot-Tool Cooperated Motion

• Published in: Applied sciences Vol. 13; no. 1; p. 251
• Main Authors: Chen, Jianzhou, Liu, Zhifeng, Xu, Jingjing, Yang, Congbin, Chu, Hongyan, Cheng, Qiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2023
• Subjects: arbitrary loose state; Automation; Cameras; Cooperation; Dismantling; Efficiency; End effectors; hexagonal screw; Image quality; Machine vision; Manufacturing; Methods; Robot dynamics; robot vision; Robotics; Robots; Sensors; Success; unfastening strategy; Vision systems
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app13010251

Disassembly plays an important role in the production process. Screw automatic unfastening guided by a robot has been widely used in the fields of industrial manufacturing and maintenance. Different from the previous studies that have used a flexible effector and expensive sensors, this paper presents a novel unfastening strategy based on robot vision for a hexagonal screw with an arbitrary loose state. In a robotic system, an industrial camera and a servo unfastening tool are installed at a robotic end-effector. The main contributions of this work are as follows. A camera pose adjustment method is proposed to obtain high-quality images of a target screw. The hexagonal screw pose calculation method based on the geometric analysis is developed to complete the screw–tool engagement. The cooperated motion of a robot and an unfastening tool is planned for the screw unfastening action. The effectiveness of the proposed control strategy is verified by experiments, and the influence of the motion speed on the unfastening quality is analyzed using the torque data collected by the unfastening tool. The analysis results can provide a significant foundation for the motion parameter selection in the proposed strategy.