Skip to main content

On-Line Collision Avoidance of Mobile Robot for Dynamically Moving Obstacles

  • Conference paper
Book cover Distributed Autonomous Robotic Systems 5
  • 593 Accesses

Abstract

This paper proposes a realistic on-line navigation method of mobile robot in dynamical environment where multiple obstacles (many people) are always changing their velocities and the robot does not know the velocities in advance. Considering characteristics of actual sensor system for mobile robot, a method to estimate the velocity of moving obstacles is presented. The estimated velocity and measured distance from the nearest obstacle are used to plan a velocity of mobile robot based on a new idea of Collision Possibility Cone. Then an on-line navigation method is proposed by using Collision Possibility Cone and feasible velocity space of mobile robot. By considering the dynamical constraints of mobile robot and moving obstacles, the mobile robot using the navigation method can move to it’s destination without collision in the existence of multiple moving obstacles, even for the case that the moving obstacles change their velocities between sensor cycle of mobile robot. Simulational examples of on-line navigation show an effectiveness of the new navigation method. Finally a developed mobile robot to demonstrate the usefulness of the proposed method is shown.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. V. Lumelsky and A. Stepanov. (1986) Dynamic path planning for a mobile automaton with limited information on the environment. IEEE Transactions on Automatic Control, Vol. AC-31, No.11, 1058–1063.

    Article  Google Scholar 

  2. V. Lumelsky and T. Skewis. (1990) Incorporating Range Sensing in the Robot Navigation Function. IEEE Transactions on Systems, Man, and Cybernetics, Vol.20, No.5, 1058–1069.

    Article  Google Scholar 

  3. I. Kamon, E. Rivlin and E. Rimon. (1996) A New Range-Sensor Based Globally Convergent Navigation Algorithm for Mobile Robots. Proceedings of the IEEE International Conference on Robotics and Automation, 429–435.

    Google Scholar 

  4. A. Tsoularis and C. Kambhampati. (1999) Avoiding Moving Obstacle by Deviation from a Mobile Robot’s Nominal Path. The International Journal of Robotics Research, Vol.18, No.5, 454–465.

    Google Scholar 

  5. T. Tsubouchi, T. Naniwa and S. Arimoto. (1996) Planning and Navigation by a mobile Robot in the Presence of Multiple Moving Obstacles and Their Velocities. Journal of Robotics and Mechatronics, Vol.8, No.1, 58–66.

    Google Scholar 

  6. P. Fiorini and Z. Shiller. (1998) Motion Planning in Dynamic Environments Using Velocity Obstacles. The International Journal of Robotics Research, Vol.17, No.7, 760–772.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Tokyo

About this paper

Cite this paper

Ushimi, N., Yamamoto, M., Shimada, M., Mohri, A. (2002). On-Line Collision Avoidance of Mobile Robot for Dynamically Moving Obstacles. In: Asama, H., Arai, T., Fukuda, T., Hasegawa, T. (eds) Distributed Autonomous Robotic Systems 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65941-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-65941-9_26

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-65943-3

  • Online ISBN: 978-4-431-65941-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics