Paper
7 September 2022 Intelligent PCB welding robot based on delta parallel manipulator
YiTing Zhao, YiKun Ma, Yu Zhu, YeYu Chai
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123294D (2022) https://doi.org/10.1117/12.2646993
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
In this paper, an intelligent PCB welding robot based on delta parallel manipulator is proposed to improve the mechanical structure of the robot, which can improve the efficiency and accuracy of PCB welding. We trained the solder joint recognition model based on YOLOv5, and established the inverse kinematics model, and used the non-uniform B-spline interpolation for trajectory planning to improve the mechanical vibration during the movement.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
YiTing Zhao, YiKun Ma, Yu Zhu, and YeYu Chai "Intelligent PCB welding robot based on delta parallel manipulator", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123294D (7 September 2022); https://doi.org/10.1117/12.2646993
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Kinematics

Data modeling

Actuators

Clouds

Detection and tracking algorithms

Motion models

Structural design

Back to Top