Vision assisted SCARA (selective compliance assembly robot arm)
Date of Publication
1997
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Manufacturing Engineering and Management
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Abstract/Summary
The study presents a Vision Assisted SCARA. The vision system uses a back propagation neural network to identify and locate seven geometric objects. This information is then used to direct the SCARA robot to pick the objects and place the objects in pre-assigned bins. The neural net was trained to recognize with invariance to location and orientation. Recognition accuracy is 100 percent and the point accuracy of the robot is also 100 percent within a 1 mm tolerance.
Abstract Format
html
Language
English
Format
Accession Number
TU08469
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
81 numb. leaves ; Computer print-out.
Keywords
Visual programming (computer science); Eye, visual pathways; Robotics; Information display systems industry; Computer-aided software engineering; Assembling (Electronic computers)
Recommended Citation
Lim, P., Lim, S., Luna, E., Sotto, J., & Syling, C. A. (1997). Vision assisted SCARA (selective compliance assembly robot arm). Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/8632
