Geometry and Programming in the Drawing for the Artificial Intelligence Experience

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This paper analyzes a computer program of virtual robot in the drawing. The objective is to find way between two points in the flat space with graphical objects fences. This is an idealized task that a robot has to solve seeking to find its way in the environment (drawing). The virtual robot uses the graphical sensors system and the fuzzy navigation system to find way between the start and target points. Before making another step toward the goal, the robot checks the environment: draws a line in front, two lines to the right and to the left, and if there are points of intersection with other graphical objects makes the decision to turn angle. Fuzzy controller ensures the robot's behavior. The computer program of robot navigation system in the drawing is analyzed. Intelligent robot system is discussed and conclusions are made.

Info:

Periodical:

Solid State Phenomena (Volumes 220-221)

Edited by:

Algirdas V. Valiulis, Olegas Černašėjus and Vadim Mokšin

Pages:

922-927

Citation:

A. Sokas et al., "Geometry and Programming in the Drawing for the Artificial Intelligence Experience", Solid State Phenomena, Vols. 220-221, pp. 922-927, 2015

Online since:

January 2015

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$38.00

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[1] G. Feng, A survey on analysis and design of model-based fuzzy control systems, IEEE Transactions on fuzzy systems 14(5) (2006) 676–696.

[2] E.H. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal Man-Machine Studies 7 (1975) 1–13.

DOI: https://doi.org/10.1016/s0020-7373(75)80002-2

[3] E.H. Mamdani, Application of fuzzy logic to approximate reasoning using linguistic synthesis, IEEE Transactions on Computers 26(12) (1977) 1182–1191.

DOI: https://doi.org/10.1109/tc.1977.1674779

[4] B. De Vries, R.J. Steins, Assessing working conditions using fuzzy logic, Automation in Construction 17 (2008) 584–591.

DOI: https://doi.org/10.1016/j.autcon.2007.10.004

[5] L.A. Zadeh, Fuzzy logic, IEEE Computer Magazine 1(4) (1988) 83–93.

[6] S. Lee, T.M. Adams, B. Ryoo, A fuzzy navigation system for mobile construction robots, Automation in construction 6 (1997) 97–107.

DOI: https://doi.org/10.1016/s0926-5805(96)00185-9