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Issues in the haptic display of tool use

Colgate, J.E., Stanley, M.C., Brown, J.M.·2002·Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots

Abstract

Our group is interested in using haptic display for training tool use. Applications include training doctors to use tools during surgery, and training astronauts to use tools during EVA. This paper describes some of the challenges of creating realistic haptic perceptions of tool use. Many of these challenges stem from the importance of unilateral constraints during tool use. Unilateral constraints occur whenever rigid bodies collide, resisting the interpenetration of the bodies, but not holding the bodies together. To identify unilateral constraints, a tool/environment simulation must perform collision detection. To respond properly to a collision, the simulation must estimate the forces that ensue, and integrate the equations of motion. All of these computations must occur in real time, and the simulation as a whole must be stable (to ensure the user's safety). Approaches to these problems are described.

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Metadata

Authors
Colgate, J. E., Stanley, M. C., & Brown, J. M.
Venue
Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots
Published
2002-11-19
Volume
3
Pages
140-145
OpenAlex
W2144415816
Cited by
404
References
0
FWCI
42.21
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Issues in the haptic display of tool use. https://app.cochat.ai/papers/10.1109/iros.1995.525875
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Colgate, J. E., Stanley, M. C., & Brown, J. M. (2002). Issues in the haptic display of tool use. Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots. https://doi.org/10.1109/iros.1995.525875

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.