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Predictive Display for Telerobot Under Unstructured Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 531))

Abstract

In this paper, the issue that traditional virtual reality (VR) system can’t be used in unstructured environment is addressed, and a novel predictive display method based on 3D scene reconstruction online is proposed. In this method, the virtual environment is modeled and reconstructed online by the structured light, so the consistency with the real world can be ensured; An adaptive random sample consensus (ARANSAC) algorithm is proposed to denoise the point cloud when modeling the environment, which adjusts the parameters of the standard RANSAC algorithm adaptively; A rigid contact model based haptic rendering algorithm is adopted to generate the force feedback directly from the manipulator’s dynamics, which eliminates the time delay and security problem introduced by the feedback force and increases the frequency of force feedback; Moreover, a low frequency filter is designed to keep the virtual force smooth. Finally, the effectiveness of the proposed method under unstructured environment is demonstrated by experiments.

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Correspondence to NaiLong Liu .

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Wei, Q., Liu, N., Cui, L. (2017). Predictive Display for Telerobot Under Unstructured Environment. In: Chen, W., Hosoda, K., Menegatti, E., Shimizu, M., Wang, H. (eds) Intelligent Autonomous Systems 14. IAS 2016. Advances in Intelligent Systems and Computing, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-48036-7_75

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  • DOI: https://doi.org/10.1007/978-3-319-48036-7_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48035-0

  • Online ISBN: 978-3-319-48036-7

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