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Cited by 431

The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.

Haptics: The Present and Future of Artificial Touch Sensation

Culbertson, Heather, Schorr, Samuel B., Okamura, Allison M.·2018·Annual Review of Control, Robotics, and Autonomous Systems

Abstract

This article reviews the technology behind creating artificial touch sensations and the relevant aspects of human touch. We focus on the design and control of haptic devices and discuss the best practices for generating distinct and effective touch sensations. Artificial haptic sensations can present information to users, help them complete a task, augment or replace the other senses, and add immersiveness and realism to virtual interactions. We examine these applications in the context of different haptic feedback modalities and the forms that haptic devices can take. We discuss the prior work, limitations, and design considerations of each feedback modality and individual haptic technology. We also address the need to consider the neuroscience and perception behind the human sense of touch in the design and control of haptic devices.

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Crossref · 10.1146/annurev-control-060117-105043

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Metadata

Authors
Culbertson, H., Schorr, S. B., & Okamura, A. M.
Venue
Annual Review of Control, Robotics, and Autonomous Systems
Published
2018-05-28
Volume
1
Issue
1
Pages
385-409
ISSN
2573-5144 (ISSN-L)
OpenAlex
W2786158031
Cited by
431
References
112
FWCI
5.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Haptics: The Present and Future of Artificial Touch Sensation. https://app.cochat.ai/papers/10.1146/annurev-control-060117-105043
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Culbertson, H., Schorr, S. B., & Okamura, A. M. (2018). Haptics: The Present and Future of Artificial Touch Sensation. Annual Review of Control, Robotics, and Autonomous Systems. https://doi.org/10.1146/annurev-control-060117-105043

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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.