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Multi-sensor Based Autonomous Underwater Manipulator Grasp

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Intelligent Robotics and Applications (ICIRA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6424))

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Abstract

As the development of mine, oil and gas resources exploitation in the ocean, the underwater manipulators become necessary tools. But operation of manipulator is tedious. To reduce its dependence on operator, autonomous manipulation is studied. With the support of the Chinese high technology develop program (the 863 program), we design an underwater 3500m electrical driven manipulator. It is equipped with a unique ultra-sonic probe array and an underwater camera. Autonomous grasping a cylinder using ultra-sonic sensor and vision is studied. The sensor system and strategy of autonomous manipulation are discussed in details. Experiments results demonstrated the manipulator autonomous work ability.

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References

  1. Yoerger, D., Slotine, J.J.: Supervisory control architecture for underwater teleoperation. In: IEEE Int. Conf. on Robotics and Automation, ICRA 1987, pp. 2068–2073 (1987)

    Google Scholar 

  2. Yann, E., Nose, Y., Ura, T.: Autonomous underwater sampling using a manipulator and stereo visualservoing. In: Oceans 2005 - Europe, OCEANS 2005, Brest, vol. 2, pp. 731–736 (2005)

    Google Scholar 

  3. Jun, B.H., Shim, H.W., Lee, P.M., Baek, H., Cho, S.K., Kim, D.J.: Workspace control system of underwater tele-operated manipulators on ROVs. In: OCEANS 2009-EUROPE, OCEANS 2009, Bremen, pp. 1–6 (2009)

    Google Scholar 

  4. Marani, G., Choi, S.K., Yuh, J.: Underwater autonomous manipulation for intervention missions AUVs. Ocean Engineering 1, 15–23 (2009)

    Article  Google Scholar 

  5. Kleeman, L., Kuc, R.: Mobile Robot Sonar for Target Localization and Classification. Int. J. of Robotics Research 4, 295–318 (1995)

    Article  Google Scholar 

  6. Lemay, J.B.L.J.: Error Minimization and Redundancy Management for a Three Dimensional Ultrasonic Ranging System. In: Proc. of the IEEE/RJS Int. Conf. on Intelligent Robots and Systems, Raleigh NC, pp. 837–844 (1992)

    Google Scholar 

  7. Lowe, D.G.: Distinctive Image Features from Scale-Invariant Key points. Int. J. of Computer Vision 2, 91–110 (2004)

    Article  Google Scholar 

  8. Mclauchlan, P.F., Murray, D.W.: A Unifying Framework for Structure and Motion Recovery from Image Sequences. In: Proc. ICCV 1995, pp. 314–320 (1995)

    Google Scholar 

  9. Azarbayejani, A., Pentland, A.P.: Recursive Estimation of Motion, Structure and Focal Length. IEEE Trans. on Pattern Analysis and Machine Intelligence, 562–575 (1995)

    Google Scholar 

  10. Davison, A.J.: Real-Time Simultaneous Localization and Mapping with a Single Camera. In: IEEE Int. Conf. on Computer Vision, pp. 1403–1410 (2003)

    Google Scholar 

  11. Bouguet, J.Y.: Visual Methods for three-dimensional Modeling. California Institute of Technology Pasadena, California (1999)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Xiao, Z. et al. (2010). Multi-sensor Based Autonomous Underwater Manipulator Grasp. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16584-9_51

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  • DOI: https://doi.org/10.1007/978-3-642-16584-9_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16583-2

  • Online ISBN: 978-3-642-16584-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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