Abstract
This work experimentally validates the feasibility of a tactile exploration approach to map harsh environments such as deep sea oil well sites. The recent collapse of the offshore oil-drilling platform Deepwater Horizon in the Gulf of Mexico resulted in the largest marine accidental disaster in history. Initial attempts to control the spill failed because of the very challenging environmental conditions. Knowing the shape and dimensions of the cracks in the leaking structure could have provided critical information to maneuver the Remotely Operated Vehicles. Here, a method developed in our previous work for tactile exploration of oil wells is applied to the problem of mapping underwater oil well sites. This method only requires a manipulator provided with joint encoders, and does not need any range, tactile or force sensor. This makes the approach robust and directly applicable to the mapping of underwater sites. This paper focuses on the experimental validation of the approach. Several experiments are described, showing the effectiveness of the approach in mapping unknown structured environment in short time, and demonstrating its reliability under very harsh conditions, such as irregular environment surfaces, surrounding viscous fluids and high manipulator joint backlash.
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References
Robertson, C., Krauss, C.: Gulf Spill Is the largest of Its Kind, Scientists Say. In: The New York Times (August 2010)
BP Leak the world’s worst accidental oil spill. In: The Daily Telegraph (August 03, 2010)
BPwebsite, http://www.bp.com
Kettler, D.: Robotic Tactile Oil Mapping: Feasibility, Experimental System and Digital Mechatronic Concepts. MIT Master’s Thesis (2009)
Mazzini, F., Dubowsky, S.: The tactile exploration of a harsh environment by a manipulator with joint backlash. In: ASME 2010 International Design Engineering Technical Conference, Montreal, Canada (August 2010)
Mazzini, F., et al.: Tactile Robotic Mapping of Unknown Surfaces: an Application to Oil Well Exploration. In: IEEE International Workshop on Robotic and Sensors Environments, pp. 80–85 (2009)
Mazzini, F., et al.: Tactile Robotic Mapping of Unknown Surfaces, with Application to Oil Wells. IEEE Transactions on Instrumentation and Measurement (in print)
Eustice, R., et al.: Visually mapping the RMS Titanic: Conservative covariance estimates for SLAM information filters. The International Journal of Robotics Research 25(12), 1223 (2006)
Thrun, S., Burgard, W., Fox, D.: Probabilistic robotics. The MIT Press (2005)
Everist, J., Wei-Min, S.: Mapping opaque and confined environments using proprioception. In: IEEE Int. Conf. on Robotics and Automation (2009)
Allen, P.K., Michelman, P.: Acquisition and interpretation of 3-D sensor data from touch. IEEE Trans. Robotics and Automation 6(4), 397–404 (1990)
Keren, D., et al.: Recognizing 3D Objects Using Tactile Sensing and Curve Invariants. Journal of Mathematical Imaging and Vision 12(1), 5–23 (2000)
Moll, M., Erdmann, M.: Reconstructing the shape and motion of unknown objects with active tactile sensors. In: Algorithmic Foundations of Robotics V, pp. 293–309. Springer (2004)
Okamura, A.M., Cutkosky, M.R.: Feature Detection for Haptic Exploration with Robotic Fingers. The Int. J. of Robotics Research 20(12), 925 (2001)
Huber, M., Grupen, R.: 2-D contact detection and localization using proprioceptiveinformation. IEEE Transactions on Robotics and Automation 10(1), 23–33 (1994)
Kaneko, M., Tanie, K.: Contact point detection for grasping an unknown object usingself-posture changeability. IEEE Trans. on Robotics and Automation 10(3), 355–367 (1994)
Vosniakos, G.C., Giannakakis, T.: Reverse engineering of simple surfaces of unknown shape with touch probes: scanning and compensation issues. Proc. of the Institution of Mechanical Engineers, Part B: J. of Eng. Manufacture 217(4), 563–568 (2003)
Dubowsky, S., Tanner, A.: A study of the dynamics and control of mobile manipulators subjected to vehicle disturbances. MIT Press (1988)
Hogan, N.: Impedance control-An approach to manipulation. I-Theory. II-Implementation. III-Applications. ASME, Trans., Journal of Dynamic Systems, Measurement, and Control, 107 (1985) ISSN 0022-0434
Requicha, A., Voelcker, H.: Solid Modeling: A Historical Summary and Contemporary Assessment. IEEE Computer Graphics and Applications 2(2), 9–24 (1982)
Besl, P., Jain, R.: Segmentation through variable-order surface fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence 10(2), 167–192 (1988)
Jiang, X., Cheng, D.-C.: A Novel Parameter Decomposition Approach to Faithful Fitting of Quadric Surfaces. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 168–175. Springer, Heidelberg (2005)
Antonelli, G.: Underwater Robots: Motion and Force Control of Vehicle-Manipulator Systems. In: Springer Tracts in Advanced Robotics, Springer-Verlag New York, Inc, Secaucus (2006)
Yuh, J.: Modeling and control of underwater robotic vehicles. IEEE Trans. on Systems, Man and Cybernetics 20(6), 1475–1483 (1990)
Olsson, H., et al.: Friction models and friction compensation. European Journal of Control 4, 176–195 (1998)
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Mazzini, F., Dubowsky, S. (2014). An Experimental Validation of Robotic Tactile Mapping in Harsh Environments such as Deep Sea Oil Well Sites. In: Khatib, O., Kumar, V., Sukhatme, G. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28572-1_38
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DOI: https://doi.org/10.1007/978-3-642-28572-1_38
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