Abstract
This article introduced an effective design method of robot called remote-brain, which is made the brain and body separated. It leaves the brain in the mother environment, by which we mean the environment in which the brain’s software is developed, and talks with its body by wireless links. It also presents a real robot TUT06-B based on this method which has human-machine interaction, vision systems, manipulator etc. Then it discussed the path planning method for the robot based on ant colony algorithm in details, especially the Ant-cycle model. And it also analyzed the parameter of the algorithm which can affect the convergence. Finally, it gives the program flow chat of this algorithm.
This work was supported by the key project of Chinese Ministry of Education under Grants 205010.
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References
Inaba, M.: Remote-Brained Robots. In: Proceedings of Fifteenth International Joint Conference on Artificial Intelligence, pp.1593–1606 (1997)
Inaba, M., Kagami, S., Kanehiro, F., Hoshino, Y., Inoue, H.: A Platform for Robotics Research Based on the Remote-Brained Robot Approach. International Journal of Robotics Research 19(10), 933–954 (2000)
Inaba, M.: Remote-brained humanoid project. Advanced Robotics 11(6), 605–620 (1997)
Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colonies. In: Proceedings of the 1st European Conference on Artificial Life, pp. 134–142 (1991)
Dorigo, M., Maniezzo, V.: Ant system: optimization by a colony of cooperating agents. IEEE Transactions on System, Man, and Cybernetics-Part B 26(1), 29–41 (1996)
Li, G., Liu, S.: Path planning of mobile robot based on improved ant colony algorithm. Control Engineering of China 12(5), 473–485 (2005)
Zhu, Q.: Ants predictive algorithm for path planning of robot in a complex dynamic environment. Chinese Journal of Computers 28(11), 1898–1906 (2005)
Duan, H.-B.: Ant Colony Algorithms: Theory and Applications, pp. 33–39, 72–75. Science Press, Beijing, China (2005)
Li, S.-Y., Chen, Y.-Q., Li, Y.: Ant Colony Algorithms with Applications, pp. 22–33. HIT Press, Haerbin, China (2004)
Dorigo, M., Gambardella, L.M.: Ant Colonies for the Traveling Salesman Problem. BioSytem 43, 73–81 (1997)
Nakamura, T., Oohara, M., Ogasawara, T., Ishiguro, H.: Fast self-localization method for mobile robots using multiple omnidirectional vision sensors. Machine Vision and Applications 14(2), 129–138 (2003)
Randall, M.: A Parallel Implementation of Ant Colony Optimization. Journal of Parallel and Distributed Computing 62, 1421–1432 (2002)
Brown, R.G., Donald, B.R.: Mobile Robot Self-Localization without Explicit Landmarks. Algorithmica 26(3-4), 515–559 (2000)
Korayem, M.H., Basu, A.: An Educational Autonomous Mobile Robot Measurement of Accuracy. Advanced Manufacturing Technology 20(3), 236–240 (2002)
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© 2007 Springer-Verlag Berlin Heidelberg
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Cui, S., Xu, X., Lian, Z., Zhao, L., Bing, Z. (2007). Design and Path Planning for a Remote-Brained Service Robot. In: Li, K., Li, X., Irwin, G.W., He, G. (eds) Life System Modeling and Simulation. LSMS 2007. Lecture Notes in Computer Science(), vol 4689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74771-0_56
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DOI: https://doi.org/10.1007/978-3-540-74771-0_56
Publisher Name: Springer, Berlin, Heidelberg
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