KNOWLEDGE-BASED ROBOTICS.

A. C. Kak, A. J. Vayda, R. L. Cromwell, Whoi-Yul Kim, C. H. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

A problem in the development of intelligent robots is that efficient computational and representational methodologies have not been available for emulating knowledge and expectation driven behavior so basic to human cognition and problem solving. Even when techniques such as geometric modeling are used for representing objects in the robot world, methods for linking such representations with sensory feedback do not exist. The authors propose the use of intermediate representations called sensor-tuned representations for linking CSG-based solid modeling with sensory information. It is pointed out how object recognition can be done with sensor-tuned representations. Results of manipulation experiments produced by the current implementation of the system are reported.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages637-646
Number of pages10
ISBN (Print)0818607874
Publication statusPublished - 1987 Jan 1

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Kak, A. C., Vayda, A. J., Cromwell, R. L., Kim, W-Y., & Chen, C. H. (1987). KNOWLEDGE-BASED ROBOTICS. In Unknown Host Publication Title (pp. 637-646). IEEE.