ROBOT-HEXAPOD WITH NEURAL NETWORK SYSTEM OF MOTION CONTROL

T.H. Kuanshkaliev
Astrakhan State University, Graduate Student, 20a, Tatischeva, Astrakhan, 414056, Russia, tel.: +7(8512)49-41-56, This email address is being protected from spambots. You need JavaScript enabled to view it.

A.V. Rybakov
PhD in Physics and Mathematics, Astrakhan State University, Director of the Institute for Research and Solution of Technological Problems, 20a, Tatischeva, Astrakhan, 414056, Russia, tel.: +7(8512)49-41-56, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract
For robots that work in a limited space, for example, conveyors, there may be sufficient rigid fix-ation on the floor. For robots that work on a flat surface, for example, in offices, wheels could be installed. However, a robot that has to perform the task on an unprepared surface requires a more complex construction. Unlike the wheels, the legs do not need constant contact with the support, which is well suited for uneven and bumpy terrain, such as woodlands, semi-deserts, foothill areas, etc.
One more application for task autonomous robots is to choose the trajectory of motion with the least energy costs. The existing methods of finding the exit from the labyrinth such as the rule of one hand, the wave algorithm have their pros and cons. To the general disadvantages, one can attribute the time spent on finding the exit. Using the neural network (NN) will increase the speed of the path generation due to the parallel processing of information, which in turn will reduce power consumption.
With the increase in the dimension, the difference in speed will be more obvious. Such results are achieved through parallel processing of information, which is not achievable in the classical versions.

Key words
Mobile robot, neural network, hexapod, search for the optimal route.

Bibliographic description 
Kuanshkaliev, T. and Rybakov, A. (2017). Experience and effectiveness of unmanned aerial vehicles application for solving of fuctional tasks of testing grounds. Robotics and Technical Cybernetics, 3(16), pp.59-66.

UDC identifier
004.896:007.52

References

1. Saranli, U., Buehler, M. and Koditschek, D. (n.d.). Design, modeling and preliminary control of a compliant hexapod robot. Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), pp.2-7.
2. Lozovoy, Y. (2011). Razrabotka intellektual'noy sistemy podderzhki prinyatiya resheniy v vedenii finansovo-khozyaystvennoy deyatel'nosti agrarnogo predpriyatiya [Development of Intelligent System of Decision Support for Financial and Economic Activities Control in Agricultural Enterprise]. Master's degree. Donetsk National Technical University.
3. Saranli, U., Buehler, M. and Koditschek, D. (2001). RHex: A Simple and Highly Mobile Hexapod Robot. The International Journal of Robotics Research, 20(7), pp.616-631.
4. Fossen, T. (2002). Marine control systems: guidance, navigation and control of ships, rigs and underwater vehicles. Trondheim: Marine Cybernetics, pp.208-217.
5. Neuronus.com - Portal of Artificial Intelligence. (2014). Obuchenie neyronnoy seti [Neural network training]. [online] Available at: http://neuronus.com/theory/240-obucheniya-nejronnoi-seti.html [Accessed 4 May 2017].
6. Panagou, D. and Tanner, H. (2009). Modeling of a Hexapod Robot; Kinematic Equivalence to a Unicycle - UDME Technical Report Number: UDMETR-2009-0001. [online] Udspace.udel.edu. Available at: http://udspace.udel.edu/handle/19716/4951 [Accessed 17 Apr. 2017].
7. Musaev, E. and et. al (2013). Sistema sbora dannykh o raspolozhenii ob"ektov v prostranstve dlya lyudey s ogranichennymi vozmozhnostyami [Data collection system on object layout in space for people with reduced capabilities]. In: Sbornik: Vserossiyskaya nauchno-prakticheskaya konferentsiya "Issledovaniya molodykh uchenykh - vklad v innovatsionnoe razvitie Rossii" [Proceedings of All-Russian Research and Practical Conference - Research of Young Scientists - Contribution to the Innovative Development of Russia]. pp.114-115.