NDLI: Moving object recognition and guidance of robots using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Neogy, A. Balakrishnan, S.N. Dagli, C.H.
Copyright Year	1992
Description	Author affiliation: Missouri Univ., Rolla, MO, USA (Neogy, A.; Balakrishnan, S.N.; Dagli, C.H.)
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.<>
Starting Page	883
Ending Page	886
File Size	438753
Page Count	4
File Format	PDF
ISBN	078030652X
DOI	10.1109/NAECON.1992.220491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object recognition Neural networks Robot kinematics Machine vision Pattern recognition Backpropagation Robot vision systems Image processing Robustness Distributed processing
Content Type	Text
Resource Type	Article

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