Course code InfT5031
Credit points 3
Total Hours in Course81
Number of hours for lectures16
Number of hours for laboratory classes16
Independent study hours49
Date of course confirmation12.01.2016
Responsible UnitInstitute of Computer Systems and Data Science
Dr. sc. ing.
The aim of this course it to provide students with deep knowledge of the interaction aspects of multiple autonomous systems, such as organization of high level communication between systems, knowledge accumulation and exchange problems, centralized and decentralized control methods, cooperation between the systems and team control aspects.
• Knowledge about intellectual computer control methods and their application scenarios in control systems;
• skills to develop modular control systems based on The Player Project software;
• competence to analyze requirements of robot control systems and to implement them according to certain robot architectures.
1. Berkey G. A. Autonomous Robots: From Biological Inspiration to Implementation and Control, Intelligent Robotics & Autonomous Agents. London: The MIT Press, 2005.
2. Arkin R. C. Behavior-based Robotics, Intelligent Robotics & Autonomous Agents. London: The MIT Press, 1998.
3. Murphy R. R. Introduction to AI Robotics, Intelligent Robotics & Autonomous Agents. London: The MIT Press, 2001.
1. Vig L. Multiple Robot Teaming – Coalition Formation: From Software Agents to Robots. Germany:VDM Verlag Dr. Muller, 2008.