Journal: Volume 21, No. 1, 2016
Pages: 55 – 60
441 Views

Development of emulator for navigation system modeling and mobile robot control

Andriy Kozhukhivskiy , О. Horbenko

Abstract

The problem of navigation system modeling and mobile robot control is considered. One of the ways to solve this problem is offered and the diagram determining the boundaries of a working space, which is formed during robot’s movement, is shown. The methodology and tools to solve navigational problems and strategies of robots’ functioning, that have to build a route, to control motion parameters, to interpret the resulting information from sensors monitor on the environment and their coordinates, are described. The method of development of a mobile robot, that has the ability to independently move and to automatically perform tasks, is considered. An important role is played by creating a navigation system that allows to draw a map of the environment in which a mobile robot operates to plan a route that leads to the goal and avoid obstacles. The use of mobile robots eliminates the threat to health and life of the operator. So the problem of creating mobile robots that have the ability to independent movement and automatically perform tasks is important. Currently, the application of mobile robotics is significantly expanded in many areas of human activity. This is especially true for activities performed to solve specific problems, related with threats to health and life. Robots is automatic systems are designed for playback of motor and intellectual functions of man. Comparing with traditional machines they are more versatile and able to be adapted to vatious tasks, including changing environment

Keywords

References

  1. Darintsev, O.V., & Migranov, A.B. (2007). Motion planning system for a group of mobile microrobots based on genetic algorithms. Izvestiya RAN. Theory and Control Systems, (3), 163–173.
  2. Terekhov, S.A. (1998). Lectures on neural networks. Snezhinsk: Artificial Neural Network Laboratory, VNIITF.
  3. Yurevich, E.I. (2010). Fundamentals of robotics. Saint Petersburg: BHV-Petersburg.
  4. Chand, P., & Carnegie, D.A. (2014). Towards a robust feedback system for coordinating a hierarchical multi-robot system. Robotics and Autonomous Systems, 62, 91–107.
  5. Foderaro, G., Ferrari, S., & Wettergren, T.A. (2014). Distributed optimal control for multi-agent trajectory optimization. Automatica, 50, 149–154.
  6. Kohonen, T. (2001). Self-organizing maps. New York: Springer-Verlag.
  7. Lagoudakis, M.G. (1998). Mobile robot local navigation with a polar neural map: A thesis for Master of Science degree. Spring.
  8. Zenkevich, S.L., & Yushchenko, A.S. (Eds.). (2005). Information devices of robotic systems: A textbook. Moscow: Bauman Moscow State Technical University Publishing House.
  9. Gusev, D.M., Kobrin, A.I., & Martynenko, Yu.G. (2000). Mobile robot navigation on a testing ground equipped with a beacon system. In Mobile Robots and Mechatronic Systems: Proceedings of the Scientific School-Conference, December 5–6, 2000 (pp. 140–151). Moscow: Moscow State University Publishing House.
  10. Burdakov, S.F., Miroshnik, I.V., & Stelmakov, R.E. (2001). Motion control systems for wheeled robots. Saint Petersburg: Nauka.
  11. Suruz, M.M., & Gueaieb, W. (2014). Mobile robot trajectory tracking using noisy RSS measurements: An RFID approach. ISA Transactions, 53, 433–443.

Suggested citation

Kozhukhivskiy , A., & Horbenko, О. (2016). Development of emulator for navigation system modeling and mobile robot control. Bulletin of Cherkasy State Technological University, 21(1), 55-60.