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Haptic Workspace Control of the Humanoid Robot Arms

Published: 04 October 2016 Publication History
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  • Abstract

    This paper presents a haptic workspace control approach to the arms of a humanoid robot by using the Omega 7 haptic device as the control input device. The haptic device with small workspace is used to control the robot with 2 arm end-effectors of large workspace. This paper also puts forward an approach for users to feel the haptic feedback force when the robot end-effectors touch the virtual boundary areas for the safety consideration. The haptic device can move further but the robot arm end-effector will stop and the haptic force generated is proportional to the travel distance of the haptic device end-effectors until reaching the maximum value of force permitted by the designer. Simulation experiments are designed and implemented to test the motion performance of the arm end-effectors under control of haptic device and the generated haptic force when the virtual boundary walls are reached by the arm end-effectors.

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    cover image ACM Other conferences
    HAI '16: Proceedings of the Fourth International Conference on Human Agent Interaction
    October 2016
    414 pages
    ISBN:9781450345088
    DOI:10.1145/2974804
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    • Chinese and Oriental Language Information Processing Society: Chinese and Oriental Language Information Processing Society

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 October 2016

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    Author Tags

    1. boundary
    2. end-effector
    3. haptic device
    4. robot arm

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    HAI '16
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    • Chinese and Oriental Language Information Processing Society

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    HAI '16 Paper Acceptance Rate 29 of 182 submissions, 16%;
    Overall Acceptance Rate 121 of 404 submissions, 30%

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