Autonomous Robot Control System for Automation of Manipulations
The aim of the research is to analyze the possibilities of creating a robot control system allowing automatic replication of manual actions. Functioning of the system would be based on the detection and identification of manipulations and environment changes related to a particular task. For the purpose, 3D machine vision is required in order to monitor people and objects around a robot. Acquired information would be used by an artificial intelligence system for creating relations between manipulation motions and events in a working area. This would allow the automation of a huge range of manual actions by showing the controller how a robot should perform them. In combination with motion path optimization and collision prevention, the presented solution could be an intelligent tool in the human-machine collaboration and machine learning. The article concerns the main concept of the autonomous robot control system, including techniques planned to be applied, and the plan of the research leading to the definition of principles allowing the creation of the system.
KeywordsRobotics Automation Artificial intelligence Machine learning Machine vision
- 1.Aydin, Y., Arghavani, N., Basdogan, C.: A new control architecture for physical human-robot interaction based on haptic communication. In: Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014, pp. 122–123. ACM, New York (2014)Google Scholar
- 3.Burczyński, T., Cholewa, W., Moczulski, W.: Methods of Artificial Intelligence: [AI METH 2009]. Silesian University of Technology, Gliwice (2009)Google Scholar
- 5.Corke, P.: Robotics, Vision and Control. Fundamental Algorithms in MATLAB® Second, Completely Revised, Extended and Updated Edition. Springer, Heidelberg (2017)Google Scholar