Knowledge-based object recognition technique for robotics assembly application

H. Najjari; Simon J. Steiner

doi:10.1117/12.222713

3 October 1995 Knowledge-based object recognition technique for robotics assembly application

H. Najjari, Simon J. Steiner

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222713
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper presents a flexible object recognition system which has been developed using a knowledge based approach for robotics assembly applications. The developed system overcomes some limitations of conventional object recognition techniques. The system can robustly recognize any number of objects of any shape, where the objects could be with any random position and orientation, and lying on any side or face. The system is flexible such that it can accommodate any number of new objects of any shape without the need to reprogram the system. The recognition method is based on a knowledge based approach, and the record of the boundary pixels is used for the extraction of a number of potential recognition features in order to recognize the objects. Depending on the shape and size of the objects introduced to the system, in its Training Mode, the system automatically selects a minimum number of important recognition features for robustly recognizing all the objects, and it automatically modifies the recognition program and feature extraction program in its Operation Mode based on the selected features.

Citation Download Citation

H. Najjari and Simon J. Steiner "Knowledge-based object recognition technique for robotics assembly application", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222713

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available