By Abraham Sánchez L., René Zapata, J. Abraham Arenas B. (auth.), Carlos A. Coello Coello, Alvaro de Albornoz, Luis Enrique Sucar, Osvaldo Cairó Battistutti (eds.)

This publication constitutes the refereed complaints of the second one Mexican foreign convention on synthetic Intelligence, MICAI 2002, held in M?rida, Yucat?n, Mexico in April 2002.
The fifty six revised complete papers offered have been rigorously reviewed and chosen from greater than eighty five submissions from 17 nations. The papers are equipped in topical sections on robotics and laptop imaginative and prescient, heuristic seek and optimization, speech popularity and ordinary language processing, common sense, neural networks, computer studying, multi-agent structures, uncertainty administration, and AI instruments and functions.

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Additional info for MICAI 2002: Advances in Artificial Intelligence: Second Mexican International Conference on Artificial Intelligence Mérida, Yucatán, Mexico, April 22–26, 2002 Proceedings

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Fillatreau, M. Devy, and R. Prajoux. Modelling of Unstructured Terrain and Feature Extraction using B -spline Surfaces. In Proc. International Conference on Advanced Robotics (ICAR),Tokyo, Japan, November 1993. 5. M. Hebert, C. Caillas, E. Krotkov, I. Kweon and T. Kanade. Terrain mapping for a roving planetary explorer. In Proc. International Conference on Robotics and Automation (ICRA), Vol 2, may 1989. 6. S. Kweon and T. Kanade. Extracting topological features for outdoor mobile robots. In Proc.

Nevertheless, we can represent a big number of joints with a relatively little number of bits. Adapting the Messy Genetic Algorithm for Path Planning 5 29 Conclusions In the robotic application we are presenting in this paper the genetic algorithm works only with direct kinematics. Then, the method does not depend on the complex calculation of the Inverse Jacobian matrix. Therefore, an advantage of this method is that the robots can be redundant or non-redundant and, also they can be situated in singular positions as we have shown by the results of the tests.

Instead, we use only the voting over p vectors, in the sense of only deciding left/right. It is not our claim to replace sonars or range finder sensors nor show a complete navigation system based on this clue, but contributing to the navigation task with a complementary and fast clue. Figure (4) depicts two distinct scenarios as an example of such a visual feedback. Figure (4-b) depicts a corridor, where the wall in some sense is violating the assumption of smooth Lambertian surface. The pq-histogram accurately points out the free space, that is to say the peak in the histogram, figure (4-a).

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