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The Whole-Arm Exploration of Harsh Environments

  • Conference paper
Romansy 19 – Robot Design, Dynamics and Control

Part of the book series: CISM International Centre for Mechanical Sciences ((CISM,volume 544))

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Abstract

This work develops a method for tactilely mapping unknown harsh environments such as oil wells, using a manipulator equipped with only position sensors. Because contact with the environment may occur anywhere on the manipulator, determining the contact location is challenging. Here a method is developed, based on a probabilistic classification of the data according to the contact location on the manipulator, and the reconstruction of the surface using such classified data. The approach effectiveness is demonstrated in several case studies and laboratory experiments.

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Bibliography

  • J. Everist and W.M. Shen. Mapping opaque and confined environments using proprioception. In IEEE International Conference on Robotics and Automation, pages 1041–1046. IEEE, 2009.

    Google Scholar 

  • S.J. Gordon and W.T. Townsend. Integration of tactile force and joint torque information in a whole-arm manipulator. In IEEE International Conference on Robotics and Automation, pages 464–469. IEEE, 1989.

    Google Scholar 

  • M. Huber and R.A. Grupen. 2-d contact detection and localization using proprioceptive information. IEEE Transactions on Robotics and Automation, 10(1):23–33, 1994.

    Article  Google Scholar 

  • M. Kaneko and K. Tanie. Contact point detection for grasping an unknown object using self-posture changeability. IEEE Transactions on Robotics and Automation, 10(3):355–367, 1994.

    Article  Google Scholar 

  • D. Keren, E. Rivlin, I. Shimshoni, and I. Weiss. Recognizing 3d objects using tactile sensing and curve invariants. Journal of Mathematical Imaging and Vision, 12(1):5–23, 2000.

    Article  MathSciNet  MATH  Google Scholar 

  • A. Leonardis, A. Gupta, and R. Bajcsy. Segmentation of range images as the search for geometric parametric models. International Journal of Computer Vision, 14(3):253–277, 1995.

    Article  Google Scholar 

  • F Mazzini. Tactile Mapping of Harsh, Constrained Environments, with an Application to Oil Wells. PhD thesis, Massachusetts Institute of Technology, 2011.

    Google Scholar 

  • F. Mazzini and S. Dubowsky. Experimental validation of the tactile exploration by a manipulator with joint backlash. Journal of Mechanisms and Robotics, in print, 2012.

    Google Scholar 

  • F. Mazzini, D. Kettler, J. Guerrero, and Dubowsky S. Tactile robotic mapping of unknown surfaces, with application to oil wells. IEEE Transactions on Instrumentation and Measurement, (99):420–429, 2011.

    Article  Google Scholar 

  • M. Moll and M. Erdmann. Reconstructing the shape and motion of unknown objects with active tactile sensors. Algorithmic Foundations of Robotics V, pages 293–310, 2004.

    Google Scholar 

  • A.M. Okamura and M.R. Cutkosky. Feature detection for haptic exploration with robotic fingers. The International Journal of Robotics Research, 20 (12):925–938, 2001.

    Article  Google Scholar 

  • A. Petrovskaya and O. Khatib. Global localization of objects via touch. IEEE Transactions on Robotics, 27(3):569–585, 2011.

    Article  Google Scholar 

  • S. Thrun. Probabilistic Robotics. the MIT Press, 2005.

    MATH  Google Scholar 

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Mazzini, F., Dubowsky, S. (2013). The Whole-Arm Exploration of Harsh Environments. In: Padois, V., Bidaud, P., Khatib, O. (eds) Romansy 19 – Robot Design, Dynamics and Control. CISM International Centre for Mechanical Sciences, vol 544. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1379-0_45

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  • DOI: https://doi.org/10.1007/978-3-7091-1379-0_45

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1378-3

  • Online ISBN: 978-3-7091-1379-0

  • eBook Packages: EngineeringEngineering (R0)

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