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amsys 18(17): e4

Research Article

An Integrated Haptic System combining VR, a Markerless Motion Capture System & Tactile Actuators

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  • @ARTICLE{10.4108/eai.23-3-2018.154375,
        author={E.L. Secco and A.T. Maereg and D. Reid and A.K. Nagar},
        title={An Integrated Haptic System combining VR, a Markerless Motion Capture System \& Tactile Actuators},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={5},
        number={17},
        publisher={EAI},
        journal_a={AMSYS},
        year={2018},
        month={3},
        keywords={Haptics, Virtual Reality, Manufacturing.},
        doi={10.4108/eai.23-3-2018.154375}
    }
    
  • E.L. Secco
    A.T. Maereg
    D. Reid
    A.K. Nagar
    Year: 2018
    An Integrated Haptic System combining VR, a Markerless Motion Capture System & Tactile Actuators
    AMSYS
    EAI
    DOI: 10.4108/eai.23-3-2018.154375
E.L. Secco1,*, A.T. Maereg1, D. Reid1, A.K. Nagar1
  • 1: Robotic Laboratory, Department of Mathematics & Computer Science, Liverpool Hope University, Hope Park L16 9JD, UK
*Contact email: seccoe@hope.ac.uk

Abstract

In the industrial environments, it is common that robotic or remote interaction with both rigid objects and soft or deformable objects is required. However, it is usual in such an environment that only one mode of manipulation is used, and that little or no distinction is made between rigid or deformable objects.
The ability to “feel” or touch an object easy a naturalistic way to determine what type of object is being manipulated. By feeling an object appropriate manipulation techniques can be applied.
A novel Virtual Reality (VR) interface is presented that incorporates tactile feedback in order to “feel” objects being manipulated.
Incorporation of an important extra “sense” into such a system allows far more nuanced and dexterous interaction to occur in manufacturing environments that may be “messy”, have imprecisely located objects or that have a range of different materials present.

Keywords
Haptics, Virtual Reality, Manufacturing.
Received
2018-02-13
Accepted
2018-02-22
Published
2018-03-23
Publisher
EAI
http://dx.doi.org/10.4108/eai.23-3-2018.154375

Copyright © 2018 E.L. Secco et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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