Immersive Virtual Reality In Cable and Pipe Routing: Design Metaphors and Cognitive Ergonomics

Author:

O’B Holt P.,Ritchie , J. M1,Day , P. N.1,Simmons , J. E. L.1,Robinson , G.1,Russell , G. T.1,Ng F. M.1

Affiliation:

1. Scottish Manufacturing Institute, Heriot-Watt University, Edinburgh EH14 4AS, UK

Abstract

In recent years there have been moves in industrial engineering towards greater automation through intelligent systems and this has resulted in replacing human expertise. In many cases the potential of intelligent systems has yet to be realised. This paper presents and discusses an alternative technological approach, which uses immersive virtual reality (VR) to support engineering design tasks. The approach focuses on the human engineer and acknowledges the importance of human input to the design process. The development of a metaphor based VR system is reported along with initial field trials, which compare VR with conventional CAD systems. The results show advantages of using VR over CAD and these are discussed along with strengths, weaknesses and future work.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications,Software

Reference23 articles.

1. Holt, P. O’B., and Russell, G. T., 1999, “Psychology As A Science Of Design In Engineering,” Proceedings of the British Psychological Society, 7(2), p. 115.

2. Conru, A. B., and Cutkosky, M. R., 1993, “Computational Support for Interactive Cable Harness Routing And Design,” Proceedings 19th Annual ASME Design Automation Conference, Albuquerque, NM, Sept. 19–22, 65, pp. 551–558.

3. Conru, A. B., 1994, “A Genetic Approach To the Cable Harness Routing Problem,” Proc. IEEE Conference on Evolutionary Computation, Orlando, FL, 1, pp. 200–205.

4. Wolter, J., and Kroll, E., 1996, “Towards Assembly Sequence Planning with Flexible Parts,” Proc. IEEE Int’l Conference on Robotics and Automation, pp. 1517–1524.

5. Zhu, D., and Latombe, J. C., 1991, “Pipe Routing=Path Planning (With Many Constraints),” Proc. IEEE Int’l Conf. on Robotics and Automation, pp. 1940–1947.

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