Document Type

Article

Publication Date

2003

Publication Title

IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews

Volume

33

Issue

2

First Page

168

Last Page

175

DOI

10.1109/TSMCC.2003.813149

Keywords

Biological system modeling, Humans, Intelligent robots, Manipulators, Manufacturing automation, Neural networks, Robot programming, Robotic assembly, Robotics and automation, Virtual reality

Abstract

This paper investigates the introduction of biologically inspired intelligence into virtual assembly. It develops a approach to assist product engineers making assembly-related manufacturing decisions without actually realizing the physical products. This approach extracts the knowledge of mechanical assembly by allowing human operators to perform assembly operations directly in the virtual environment. The incorporation of a biologically inspired neural network into an interactive assembly planner further leads to the improvement of flexible product manufacturing, i.e., automatically producing alternative assembly sequences with robot-level instructions for evaluation and optimization. Complexity analysis and simulation study demonstrate the effectiveness and efficiency of this approach.

Comments

The definitive version of this article was published in IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews and is available here.(c) 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

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