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Design of the Utah/M.I.T. Dextrous Hand

Jacobsen, S., Iversen, E., Knutti, D., Johnson, R., Biggers, K.·1986·Proceedings. 1986 IEEE International Conference on Robotics and Automation

Abstract

The Center for Engineering Design at the University of Utah, and the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology have developed a robotic end effector intended to function as a general purpose research tool for the study of machine dexterity. The high performance, multifingered hand will provide two important capabilities. First, it will permit the experimental investigation of basic concepts in manipulation theory, control system design and tactile sensing. Second, it will expand understanding required for the future design of physical machinery and will serve as a "test bed" for the development of tactile sensing systems. The paper includes: 1) a discussion of issues important to the development of manipulation machines; 2) general comments regarding design of the Utah/M.I.T. Dextrous Hand; and, 3) a detailed discussion of specific subsystems of the hand.

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Crossref · 10.1109/robot.1986.1087395

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Metadata

Authors
Jacobsen, S., Iversen, E., Knutti, D., Johnson, R., & Biggers, K.
Venue
Proceedings. 1986 IEEE International Conference on Robotics and Automation
Publisher
IEEE
Published
1986
Pages
1520-1532
ISSN
1050-4729 (ISSN-L)
OpenAlex
W1520726269
Cited by
664
References
0
FWCI
8.35
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design of the Utah/M.I.T. Dextrous Hand. https://app.cochat.ai/papers/10.1109/robot.1986.1087395
The paper
Jacobsen, S., Iversen, E., Knutti, D., Johnson, R., & Biggers, K. (1986). Design of the Utah/M.I.T. Dextrous Hand. Proceedings. 1986 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1986.1087395

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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.