Intelligent manipulation control for robotic system

Authors

  • Oleksandr Tsymbal Kharkiv National University of Radio Electronics, Ukraine
  • Oleksandr Mordyk Kharkiv National University of Radio Electronics, Ukraine

Abstract

There is provided an analysis in development of flexible integrated systems of industrial application. Report shows an increasing importance of intelligent components for control systems. There are considered the basic items on development of intelligent decision-making support systems to solve the manipulation tasks of industrial robots. The language-oriented constructions for knowledge bases of intelligent problem solvers are presented as well as specifications of their practical implementation and perspective development directions.

References

O. Tsymbal, A. Bronnikov, A. Yerokhin. Adaptive Decision-making for Robotic tasks // Proceeding of IEEE 8th Conf. Advanced Optoelectronics and Lasers, CAOL-DSMOLE*2019: “Data Science in Modern Optoelectronics and Laser Engineering”, Sept. 6-8, Sozopol, Bulgaria. – P. 594-597.

Xin-She Yang (ed). Artificial Intelligence, Evolutionary Computing and Metaheuristics. Springer, 2013, 796 p.

Zheng C., Liu H., Ge M., Liu Y. A Novel Maze Representation Approach for Finding Filled Path of a Mobile Robot, Int. Conf. Computer, Network, Communication and Information Systems (CNCI 2019), Advances in Computer Science Research, volume 88, pp. 664-673, 2019.

Tsymbal O., Bronnikov A. Decision-making information technology for flexible integrated manufacturing / Modern state of science researches and technologies. 2019. № 2 (8). – C. 105-112.

Bronnikov, I. Nevliudov, O. Tsymbal. Flexible manufacturing tendencies and improvements with visual sensoring / Eskisehir Technical University Journal of Science and Technology. Applied Sciences and Engineering, 2019. Vol. 20, ICONAT issue, P. 77-83.

Published

2020-04-23

Issue

Section

FLEXIBLE INTEGRATED SYSTEMS AND ROBOTICS