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Using OxSim for path planning

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Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

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Abstract

We present a new version of our robot manipulator planning toolbox, OXSIM. OXSIM is designed to greatly simplify the building of planners by providing core competence in three-dimensional geometry. This is done by the provision of efficient routines for computing the distance between parts of the robot and its environment. A new version of OXSIM, written in C++, provides an object-oriented interface to the basic system, which will increase its ease of use.

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References

  1. Stephen Cameron. A comparison of two fast algorithms for computing the distance between convex polyhedra. IEEE Trans. Robotics & Automation, 13(6):915–920, December 1997.

    Google Scholar 

  2. Stephen Cameron. Enhancing GJK: computing minimum and penetration distances between convex polyhedra. In IEEE Int. Conf. Robotics & Automation, pages 3112–3117, Albuquerque, April 1997.

    Google Scholar 

  3. D. Challou, M. Gini, V. Kumar, and C. Olson. Very fast motion planning for dextrous robots. In Proc. IEEE Int. Symp. Assembly and Task Planning, pages 201–206, Pittsburgh, August 1995.

    Google Scholar 

  4. J. Cohen, M. Lin, D. Manocha, and K. Ponamgi. I-COLLIDE: An interactive and exact collision detection system for large scale environments. In Interactive 3D Graphics Conference, pages 189–196, Monterey, April 1995.

    Google Scholar 

  5. John J. Craig. Introduction to Robotics: Mechanisms and Control. Addison-Wesley, 1986.

    Google Scholar 

  6. E. G. Gilbert, D. W. Johnson, and S. S. Keerthi. A fast procedure for computing the distance between complex objects in three-dimensional space. IEEE Trans. Robotics & Automation, 4(2):193–203, April 1988.

    Google Scholar 

  7. Masato Kageyama and Stephen Cameron. Rapid path planning for an industrial welding robot. In preparation, 1997.

    Google Scholar 

  8. Ming Lin and John Canny. A fast algorithm for incremental distance calculation. In IEEE Int. Conf. Robotics & Automation, pages 1008–1014, Sacremento, April 1991.

    Google Scholar 

  9. A. W. McLean and S. A. Cameron. The virtual springs method: Path planning and collision avoidance for redundant manipulators. Int. J. Robotics Res., 15(4):300–319, August 1996.

    Google Scholar 

  10. Brian Mirtich. Efficient algorithms for two-phase collision detection. In Practical Motion Planning in Robotics: Current Approaches and Future Directions. John-Wiley, 1998. Also as MERL TR-97-23 (www.merl.com).

    Google Scholar 

  11. Caigong Qin. Path Planning for Complex Manipulators. PhD thesis, Computing Laboratory, University of Oxford, 1996.

    Google Scholar 

  12. Caigong Qin, Stephen Cameron, and Alistair McLean. Towards efficient motion planning for manipulators with complex geometry. In Proc. IEEE Int. Symp. Assembly and Task Planning, pages 207–212, Pittsburgh, August 1995.

    Google Scholar 

  13. Peter Watterberg, Patrick Xavier, and Yong Hwang. Path planning for everyday robotics with SANDROS. In IEEE Int. Conf. Robotics & Automation, pages 1170–1175, Albuquerque, April 1997.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Oxford University Computing Laboratory, Wolfson Building, Parks Road, OX1 3QD, Oxford, UK

    Stephen Cameron

Authors
  1. Stephen Cameron
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Editor information

Angel Pasqual del Pobil José Mira Moonis Ali

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© 1998 Springer-Verlag Berlin Heidelberg

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Cameron, S. (1998). Using OxSim for path planning. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_392

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  • DOI: https://doi.org/10.1007/3-540-64574-8_392

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

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