Abstract
This paper presents a navigation algorithm based on traversability for search and rescue robot. The traversability includes pre-traversability and real-time traversability. The pre-traversability is calculated using terrain roughness and roll and pitch change. The terrain roughness is based on the texture information from the image captured by the on-board camera. An artificial neural network has been trained to find the relationship between roll and pitch changes and image characters. In order to avoid the localization that the intransitable region could not be completely identified just using the image process method, the real-time traversability with slip element has been adopted to correct the error in pre-traversability. The fuzzy logic approach has been developed for the traversability integration. The experiment demonstrates that the navigation algorithm is effective.
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References
Editorial: Search and Rescue Robot. Journal of Field Robotics 25(1), 1–2 (2008)
David, A.: Urban Search and Rescue Robot: From Tragedy to Technology. IEEE Intelligent Systems 17(2), 81–83 (2002)
Poppinga, J., Birk, A., Pathak, K.: Hough Based Terrain Classification for Realtime Detection of Drivable Ground. Journal of Field Robitics 25(1), 67–88 (2008)
Seraji, H.: Traversability Index: A New Concept for Planetary Rover. In: IEEE International Conference on Robotics & Automation, Detroit, Michigan, pp. 2006–2013 (1999)
Seraji, H., Howard, A.: Behavior-based Robot Navigation on Challenging Terrain. IEEE Transactions on Robotics and Automation 18(3), 308–321 (2002)
Kim, D., Sang, M.O., Rehg, J.M.: Traversability Classification for UGV Navigation: A Comparison of Patch and Superpixel Representations. In: IEEE International Conference on Robotics and Autonomous, San Diego, CA, USA, pp. 3166–3173 (2007)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using MATLAB. House of Electronics Industry Press, Beijing (2005)
Angelova, A., Matthies, L., Helmick, D., Perona, P.: Learning and Predication of Slip from Visual Information. Journal of Field Robotics 24(3), 205–231 (2007)
Seraji, H.: Behavior-Based Robot Navigation on Challenging Terrain: A Fuzzy Logic Approach. IEEE Transactions on Robotics and Automation 18(3), 308–321 (2002)
Yoshida, K., Hamano, H.: Motion Dynamics of A Rover With Slip-Based Traction model. In: IEEE International Conference on Robotics & Automation, Piscataway, NJ, USA, pp. 3155–3160 (2002)
Wang, M., Liu, J.N.K.: Fuzzy logic based robot path planning in unknown environment. In: IEEE Conference on Machine Learning and Cybernetics, Hong Kong, China, pp. 813–818 (2005)
Antonelli, G.: A Fuzzy-Logic-Based Approach for Mobile Robot Path Tracking. IEEE Transaction on Fuzzy System 15(2), 211–221 (2007)
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© 2008 Springer-Verlag Berlin Heidelberg
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Guo, Y., Song, A., Cao, Y., Tang, H. (2008). Research on Navigation for Search and Rescue Robot Based on Traversability. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_92
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DOI: https://doi.org/10.1007/978-3-540-88513-9_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
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