Skip to main content

An Efficient Method for Collision Detection and Distance Queries in a Robotic Bridge Maintenance System

  • Chapter

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 362))

Abstract

When applying autonomous industrial robotic systems in an unknown/partially known or cluttered environment, mapping and representation of the environment as well as collision detection becomes crucial. Existing techniques in these areas are generally complex and computationally expensive to implement. In this paper an efficient sphere representation method is introduced for environment representation, collision detection and distance queries. In particular, this method is designed for the application in an autonomous bridge maintenance system. Simulation results show that this method is effective in environment representation and collision detection. Furthermore, the proposed method is also computationally efficient for real-time implementation

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schwarzer, F., Saha, M., and Latombe, J. C., Adaptive Dynamic Collision Checking for Single and Multiple Articulated Robots in Complex Environments, IEEE Transactions on Robotics, Vol. 21,No. 3, June 2005.

    Google Scholar 

  2. Weghorst, H., Hopper, G., and Greenberg, D. P., Improved Computational Methods for Ray Tracing, ACM Transaction on Graphics, Vol. 3,No. 1, January 1984.

    Google Scholar 

  3. Klosowski, J.T., Held, M., Mitchell, J.S.B., Sowizral, H., and Zikan K., Efficient Collison Detection Using Bounding Volume Hierarchies of k-DOPs, IEEE Transactions on Visualization and Computer Graphics, Vol. 4,No. 1, 1998.

    Google Scholar 

  4. Gottschalk, S., Lin, M.C., and Manocha, D., OBBTree: A Hierarchical Structure for Rapid Interference Detection, Proc. of 23rd Annual Conference on Computer Graphics and Interactive Techniques, ACM press, 1996.

    Google Scholar 

  5. Hubbard, P.M., Interactive Collision Detection, Proc. of IEEE Symposium on Research Frontier in VR, 1993.

    Google Scholar 

  6. Hubbard, P.M., Approximating Polyhedra with Spheres for Time-Critical Collision Detection, ACM Transaction on Graphics, Vol. 15,No. 3, 1996.

    Google Scholar 

  7. Bradshaw, G., O’Sullivan, C., Adaptive medial-axis approximation for sphere-tree construction, ACM Transactions on Graphics, Vol. 23, 2004.

    Google Scholar 

  8. Del Pobil, A.P., Serna, M. A., Llovert, J., A new representation for Collision Avoidance and Detection, Proceeding of the IEEE International Conference on Robotics and Automation, 1992.

    Google Scholar 

  9. Del Pobil, A.P., Pkrez, M., Martinez, B., A Practical Approach to Collision Detection between General Objects, Proceeding of the IEEE International Conference on Robotics and Automation, 1996.

    Google Scholar 

  10. Martinez-Salvador, B., Perez-Francisco, M., Del Pobil, A.P., Collision Detection between Robot Arms and People, Journal of Intelligent and Robotic Systems, Kluwer, Vol. 38, 2003

    Google Scholar 

  11. Okada, K., Inaba, M., Inoue, H., Real-Time and Precise Self Collision Detection System for Humanoid Robots, Proceeding of the IEEE International Conference on Robotics and Automation, 2005.

    Google Scholar 

  12. Larsen, E., Gottschalk, S., Lin, M.C., Manocha, D., Fast Distance Queries with Rectangular Swept Sphere Volumes, Proceeding of the IEEE International Conference on Robotics and Automation, 2000.

    Google Scholar 

  13. Larsen, E., Gottschalk, S., Lin, M.C., Manocha, D., Fast Distance Queries with Swept Sphere Volumes, Department of Computer Science, UNC, Rep. TR99-081, 1999.

    Google Scholar 

  14. Ehmann, S., Lin, M.C., Accelerated Distance Computation between Convex Polyhedra by Multi-Level Marching, Technical Report, Department of Computer Science, UNC at Chapel Hill, 1999.

    Google Scholar 

  15. Kimoto, T., Yasuda, Y., Shape Description and Representation by Ellipsoids, Signal Processing: Image Communication, Vol. 9,No. 3, Elsevier Science, March 1997.

    Google Scholar 

  16. Fünfzig, C., Ullrich, T., Fellner, D.W., Hierarchical Spherical Distance Fields for Collision Detection, Computer Graphics and Applications, IEEE, 26(1), 2006.

    Google Scholar 

  17. Sanchez-Ante, G., Single-Query Bi-Directional Motion Planning with Lazy Collision Checking, PhD thesis, Department of Computer Science, Instituto Tecnologico Y De Estudios, Mexico.

    Google Scholar 

  18. Latombe, J.-C., Robot Motion Planning, Kluwer Academic, 1991.

    Google Scholar 

  19. Johnson, D.E., Cohen, E., A Framework for Efficient Minimum Distance Computations, Proceeding of the IEEE International Conference on Robotics and Automation, 1998.

    Google Scholar 

  20. Caselli, S., Reggiani, M., Mazzoli, M., Exploiting Advanced Collision Detection Libraries in a Probabilistic Motion Planner, Journal of WSCG, 10(1–3), 2002.

    Google Scholar 

  21. Reichenbach, T., Kovacic, Z., Collision-Free Path Planning in Robot Cells Using Virtual 3D Collision Sensor, Cutting Edge Robotics, ISBN 3-86611-038-3, pp. 683–704, ARS/plV, 2005.

    Google Scholar 

  22. Redon, S., Kim, Y.J., Lin, M.C., Manocha, D., Fast Continuous Collison Detection for Articulation Models, ACM Symposium on Solid Modeling and Application, 2004.

    Google Scholar 

  23. Redon, S., Fast Continuous Collision Detection and Handling for Desktop Virtual Prototyping, Virtual Reality, Springer, Vol. 8,No. 1, 2004.

    Google Scholar 

  24. Nocedal, J. and Wright, S. J., Numerical Optimization, Springer-Verlag, New York, 1999

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Xu, J., Liu, D.K., Fang, G. (2007). An Efficient Method for Collision Detection and Distance Queries in a Robotic Bridge Maintenance System. In: Tarn, TJ., Chen, SB., Zhou, C. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Control and Information Sciences, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73374-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73374-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73373-7

  • Online ISBN: 978-3-540-73374-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics