Smooth and Safe Nearness-Diagram (SSND) Navigation for Autonomous Mobile Robots

Article Preview

Abstract:

This paper addresses further enhancements of the earlier developed Smooth Nearness-Diagram Navigation (SND) method for mobile robots moving in complex and cluttered environments. The enhanced method, entitled SSND, improves the safety of paths generated by the SND and solves the problem of trapping the robot in narrow corridors, where the difference in the number of threats on its sides is high. This is achieved by adjusting the difference in the number of obstacles on the two sides of the robot heading direction. The power of our method is demonstrated by simulation results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

4718-4726

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Erwin Prassler, Arno Ritter, Christoph Schaeffer and Paolo Fiorini, A Short History of Cleaning Robots, Autonomous Robots, Volume 9, Number 3, pp.211-226, Springer Netherlands, December, (2000).

DOI: 10.1023/a:1008974515925

Google Scholar

[2] D. Caltabiano & G. Muscato, A Robotic System for Volcano Exploration, Cutting Edge Robotics, ISBN 3-86611-038-3, p.784, Germany, July (2005).

DOI: 10.5772/4666

Google Scholar

[3] M. Sugeno, H. Winston, I. Hirano, and S. Kotsu, Intelligent Control of an Unmanned Helicopter Based on Fuzzy Logic, Proc. of the NATO ASI Conf. on Soft Computing and Its Application, Antalya, Turkey, (1996).

Google Scholar

[4] Maria Isabel Ribeiro, Obstacle Avoidance, Navigation/Collision Avoidance, November (2005).

Google Scholar

[5] O. Khatib, Real-time Obstacle Avoidance for Manipulators and Mobile Robots, The Intl. Journal of Robotics Research, 5(1), pp.90-98, (1986).

DOI: 10.1177/027836498600500106

Google Scholar

[6] Khatib, M. and Chatila, R, An extended potential field approach for mobile robot sensor-based motions". In Proc. International Conference on Intelligent Autonomous Systems (IAS, 4), (1995).

Google Scholar

[7] J. Borenstein and Y. Koren, Real-time obstacle avoidance for fast mobile robots, IEEE Trans. Syst., Man, Cybern., vol. 19, p.1179–1187, May (1989).

DOI: 10.1109/21.44033

Google Scholar

[8] Y. Koren and J. Borenstein, Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation, In IEEE Int. Conf. on Robotics and Automation, volume 2, pages 1398–1404, Sacramento, CA, (1991).

DOI: 10.1109/robot.1991.131810

Google Scholar

[9] R. C. Arkin, Motor Schema-Based Mobile Robot Navigation, International Journal of Robotics Research, August 1989, pp.92-112.

DOI: 10.1177/027836498900800406

Google Scholar

[10] R. B. Tilove, Local obstacle avoidance for mobile robots based on the method of artificial potentials, in Proc. IEEE Int. Conf. Robotics and Automation, vol. 2, Cincinnati, OH, 1990, p.566–571.

DOI: 10.1109/robot.1990.126041

Google Scholar

[11] M. Khatib, Sensor-based motion control for mobile robots, Ph.D. dissertation, LAAS-CNRS, Toulouse, France, (1996).

Google Scholar

[12] M. Khatib and R. Chatila, An Extended Potential Field Approach for Mobile Robot Sensor-based Motions", In Intl. Conf. On Intelligent Autonomous Systems IAS, 4, (1995).

Google Scholar

[13] B. H. Krogh and C. E. Thorpe, Integrated path planning and dynamic steering control for autonomous vehicles, in Proc. IEEE Int. Conf. Robotics and Automation, San Francisco, CA, 1986, p.1664–1669.

DOI: 10.1109/robot.1986.1087444

Google Scholar

[14] R. Simmons, The Curvature-Velocity Method for Local Obstacle Avoidance", In IEEE Intl. Conf. on Robotics and Automation ICRA, 96, pp.2275-2282, Minneapolis, April (1996).

DOI: 10.1109/robot.1996.511023

Google Scholar

[15] D. Fox, W. Burgard. and S. Thrun, The Dynamic Window Approach to Collision Avoidance, IEEE Robotics and Automation Magazine, 4(1), pp.23-33, March (1997).

DOI: 10.1109/100.580977

Google Scholar

[16] Simmons R., Nak Young Ko, The Lane-Curvature Method for Local Obstacle Avoidance, IEEE/RSJ Int. Conference on Intelligent Robots and Systems, Victoria B.C., Canada, (1998).

DOI: 10.1109/iros.1998.724829

Google Scholar

[17] O. Brock and O. Khatib, High-Speed Navigation Using the Global Window Approach", in IEEE Intl. Conf. on Robotics and Automation ICRA, 99, Detroid, Michigan, pp.341-346, May (1999).

DOI: 10.1109/robot.1999.770002

Google Scholar

[18] J. Minguez and L. Montano, Nearness diagram (ND) navigation: collision avoidance in troublesome scenarios, IEEE Transactions on Robotics and Automation, Vol. 20, Issue 1, pp.45-59, Feb. (2004).

DOI: 10.1109/tra.2003.820849

Google Scholar

[19] J. Minguez, J. Osuna, and L. Montano, A "divide and conquer" strategy based on situations to achieve reactive collision avoidance in troublesome scenarios, in IEEE Int. Conf. on Robotics and Automation, (New Orleans, LA), p.3855–3862, Apr. (2004).

DOI: 10.1109/robot.2004.1308869

Google Scholar

[20] Joseph W. Durham and Francesco Bullo, Smooth Nearness-Diagram Navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008. IROS 2008, pp.690-695, 22-26 Sept. (2008).

DOI: 10.1109/iros.2008.4651071

Google Scholar

[21] J. Borenstein and Y. Koren, The Vector Field Histogram – Fast Obstacle Avoidance for Mobile Robots, IEEE Transactions on Robotics and Automation, pp.278-288, 7(3), June (1991).

DOI: 10.1109/70.88137

Google Scholar