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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aiguo, S.: Force telepresence telerobot (1): review of the history and development. J. Nanjing Univ. Inf. Sci. Technol. 5, 1–19 (2013)
Woo-Keun, Y., Goshozono, T., Kawabe, H., Kinami, M., Tsumaki, Y., Uchiyama, M., et al.: Model-based space robot teleoperation of ETS-VII manipulator. IEEE Trans. Robot. Autom. 20, 602–612 (2004)
Li, H., Song, A.: Virtual-environment modeling and correction for force-reflecting teleoperation with time delay. IEEE Tran. Ind. Electron. 54, 1227–1233 (2007)
Polat, I., Schere, C.: Stability analysis for bilateral teleoperation an IQC formulation. IEEE Trans. Robot. 28, 1294–1308 (2012)
Anderson, R.J., Spong, M.W.: Bilateral control of teleoperators with time delay. IEEE Trans. Autom. Control 34, 494–501 (1989)
Mollet, N., Chellali, R., Brayda, L.: Virtual and augmented reality tools for teleoperation: improving distant immersion and perception. J. Trans. Edutainment II(5660), 135–159 (2009)
Hokayem, P.F., Spong, M.W.: Bilateral teleoperation: an historical survey. J. Automatica 42, 2035–2057 (2006)
Polushin, I.G., Dashkovskiy, S.N., Takhmar, A., Patel, R.V.: A small gain framework for networked cooperative force-reflecting teleoperation. J. Automatica 49, 338–348 (2013)
Mengyin, F., Xianwei, L., Tong, L., Yi, Y., Xinghe, L., Yu, L.: Real-time SLAM algorithm based on RGB-D data. J. Robot. 37, 683–692 (2015)
Jingzhou, S., Yang, B., Hanxu, S., Qingxuan, J., Xin, G., Yifan, W.: A decoupled force feedback haptic device based on interaction force signal. J. Robot. 36, 477–484 (2014)
Edwards, L., Sims, M., Kunz, C., Lees, D., Bowman, J.: Photo-realistic terrain modeling and visualization for mars exploration rover science operations. In: 2005 IEEE International Conference on Systems, Man and Cybernetics, pp. 1389–1395, Waikoloa, HI (2005)
Fan, Q., Xiaoxia, X., Libo, C.: The research about modeling technology of irregular virtual reality scene based on point cloud data. In: International Conference on Computer Application and System Modeling (ICCASM), pp. 538–541, Taiyuan, China (2010)
Seong-Oh, L., Hwasup, L., Hyoung-Gon, K., Sang Chul, A.: RGB-D fusion: real-time robust tracking and dense mapping with RGB-D data fusion. In: International Conference on Intelligent Robots and Systems (IROS 2014), pp. 2749–2754, Chicago, IL, USA (2014)
Shellshear, E., Berlin, R., Carlson, J.S.: Maximizing smart factory systems by incrementally updating point clouds. IEEE Comput. Graph. Appl. 35, 62–69 (2015)
Turner, E., Cheng, P., Zakhor, A.: Fast, automated, scalable generation of textured 3D models of indoor environments. IEEE J. Sel. Top. Signal Process. 9, 409–421 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-48036-7_75
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48035-0
Online ISBN: 978-3-319-48036-7
eBook Packages: EngineeringEngineering (R0)