Rescue Robot Navigation Parallel Algorithm in Grid Computing Environment

Abstract:

In a disaster field, to obtain the optimal path in unknown environment,a rescue robot needs to build an environment map. Sensors mounted on the robots cooperate to monitor the environment, the information of the disaster field is collected by the sonsors of different robots, all signal from sensors (mounted on all robots and signal form GPS) are sent to the bakeside parllel processors with wireless network. A grid computing environment serves as the backside parallel processors with Globus Toolkit, the grid computing processor process all the signals and construct the global map to help robot for navigation path planning.The rescue robot get control signal from the grid computing processor with wireless network,thus, the robot is not necessary to be sophisticated. New computing methods are given for parallel algorithm on grid environment.The experiments show that the method is more practical and helps the path planning problem to be solved more efficiently, the advantages of large seale computing on grid are shown.

• Periodical: Advanced Materials Research (Volumes 271-273)
• Pages: 114-117
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.271-273.114
• Online since: July 2011
• Authors: Wei Wang, Xin Jian Shan, Shen Jie Jia
• Keywords: Globus Toolkit, Grid Computing, Parallel Algorithm, Rescue Robot, Wireless Network

References

[1] Hofaud R. Skcfdas T. Structural Matching for Stereo Vision. IEEE PAMI, 1989, 11(11)1158-1180.

[2] J A. Castellanos, J.M.M. Montiel, J. Neira, JD. Tardos, Sensor influence in the performance of simultaneous mobile robot localization and map building, Experimental Robotics IV, Springer-Verlag, pp.287-296, (2000).

DOI: 10.1007/bfb0119407

[3] YANG G, V K. Optimal path planning for unmanned air vehicles with kinematic and tactical constraints[R]. Proceedings of the American Control Conference, Las Vegas, NV, (2002).

DOI: 10.1109/cdc.2002.1184695

[4] M. A. Batalin, G.S. Sukhatme and M. Hattig, Mobile robot navigation using a sensor network, Proc. IEEE International Conference on Robotics and Automation, New Orleans, LA, vol. I, p.636-64I, April (2003).

DOI: 10.1109/robot.2004.1307220

[5] ZACHARY W S. Comparison of Path-Planning and Search Methods [D]. Morgantown, West Virginia: West Virginia University, (2004).

[6] Zou Xiaobing, Cai Zixing, Yu Jinxia, Sun Guorong, Design of 3-D perceptual system based on laser rangefinder for mobile robot, Chinese High Technology Letters, v 15, n 9, 2005, pp.38-43.

DOI: 10.1109/iros.2005.1545027

[7] Qussama Khatib. Real-Time Obstacle Avoidance for Manipulators and Mobile Robots Proc of The 1994 IEEE.