Abstract
The design of a robust guidance system for a robot is discussed. The two major tasks for this guidance system are the online recognition of a moving object invariant to rotation and translation, and tracking the moving object using a neural-network-driven vision system. This system included computer software ported to the IBM PC and interfaced with an IBM 7535 robot. The operation of this guidance system involved recognition of a moving object and the ability to track it till the robot and effector was in close proximity of the object. It was found that the robot was able to track a moving object as long as it did not leave the region visible to the camera. Recognition was successfully demonstrated for objects of arbitrary shapes. Even similarly shaped objects of different sizes were correctly recognized.
Recommended Citation
A. Neogy et al., "Moving Object Recognition and Guidance of Robots Using Neural Networks," Proceedings of the IEEE 1992 National Aerospace and Electronics Conference, 1992, Institute of Electrical and Electronics Engineers (IEEE), Jan 1992.
The definitive version is available at https://doi.org/10.1109/NAECON.1992.220491
Meeting Name
IEEE 1992 National Aerospace and Electronics Conference, 1992
Department(s)
Mechanical and Aerospace Engineering
Second Department
Engineering Management and Systems Engineering
Keywords and Phrases
IBM 7535 Robot; IBM PC; IBM Computers; Computer Software; Computer Vision; Guidance of Robots; Moving Object; Neural Nets; Neural Networks; Online Recognition; Pattern Recognition; Position Control; Recognition; Robots; Tracking
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1992 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1992
Included in
Aerospace Engineering Commons, Mechanical Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons
