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Cited by 1,372

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The PHANToM Haptic Interface: A Device for Probing Virtual Objects

Massie, Thomas H., Salisbury, J. Kenneth·1994·Dynamic Systems and Control: Volume 1 — Control Theory/Methodology; Robust Control; Applied Nonlinear Control Systems; QFT Designs in Industrial, Government, Academic Settings; Robot Control; Impedance Planning for Robotics; Haptic Interfaces for Virtual Environment/Teleoperator Systems; Intelligent Control Systems; Intelligent Process Control; Neural Networks

Abstract

This paper describes the PHANToM haptic interface - a device which measures a user’s finger tip position and exerts a precisely controlled force vector on the finger tip. The device has enabled users to interact with and feel a wide variety of virtual objects and will be used for control of remote manipulators. The paper discusses the design rationale, novel kinematics and mechanics of the PHANToM. A brief description of the programming of basic shape elements and contact interactions is also given.

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Crossref · 10.1115/imece1994-0452

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Metadata

Authors
Massie, T. H., & Salisbury, J. K.
Venue
Dynamic Systems and Control: Volume 1 — Control Theory/Methodology; Robust Control; Applied Nonlinear Control Systems; QFT Designs in Industrial, Government, Academic Settings; Robot Control; Impedance Planning for Robotics; Haptic Interfaces for Virtual Environment/Teleoperator Systems; Intelligent Control Systems; Intelligent Process Control; Neural Networks
Published
1994-11-06
Pages
295-301
OpenAlex
W2288146251
Cited by
1,372
References
2
FWCI
84.06
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The PHANToM Haptic Interface: A Device for Probing Virtual Objects. https://app.cochat.ai/papers/10.1115/imece1994-0452
The paper
Massie, T. H., & Salisbury, J. K. (1994). The PHANToM Haptic Interface: A Device for Probing Virtual Objects. Dynamic Systems and Control: Volume 1 — Control Theory/Methodology; Robust Control; Applied Nonlinear Control Systems; QFT Designs in Industrial, Government, Academic Settings; Robot Control; Impedance Planning for Robotics; Haptic Interfaces for Virtual Environment/Teleoperator Systems; Intelligent Control Systems; Intelligent Process Control; Neural Networks. https://doi.org/10.1115/imece1994-0452

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.