Automated visual positioning and precision placement of a workpiece using deep learning

• Published in: International journal of advanced manufacturing technology Vol. 104; no. 9-12; pp. 4527 - 4538
• Main Authors: Li, Chih-Hung G., Chang, Yu-Ming
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2019; Springer Nature B.V
• Subjects: Automation; CAE) and Design; Cameras; CMOS; Computer-Aided Engineering (CAD; Deep learning; End effectors; Engineering; Industrial and Production Engineering; Mechanical Engineering; Media Management; Original Article; Placement; Workpieces; Deep learning; Workpiece placement; Convolutional neural network; Eye-in-hand; Vision positioning

An automated visual positioning system is proposed for precision placement of a workpiece on the fixture. The system includes a binocular eye-in-hand system on the end effector of the mobile manipulator and a ConvNet for detecting the relative position of the workpiece based on the holistic views ob...