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13D051IRS - Intelligent Robotic Systems

Course specification
Course title Intelligent Robotic Systems
Acronym 13D051IRS
Study programme Electrical Engineering and Computing
Module System Control and Signal Processing
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition Without prerequisities
        The goal Introduction to theory, state-of-the-art and implementation of intelligent (cognitive) robotic systems). Acquisition of theoretic and practical knowledge and skills about methodologies of design and exploitation of cognitive rpbotic systems. Acquisition of skills for further own engineering learning and scientific research in area of intelligent cognitive robotics.
        The outcome The basic aim of course represents the general and practical knowledge about cognitive robotic systems expressed through the following areas: environment perception, multisensory fusion,, motion planning, reasoning, SLAM, robot learning, Intelligent navigation, intelligent robot control, multi-agent robotic systems, HRI, cooperative robotics
        Contents
        Contents of lectures Basics of Intelligent Cognitive Robotics. Perceptual systems. Motion Planning. SLAM. Spatial and Context Reasoning. Intelligent navigation. Behavior-Based Control. Reinforcement Learning Control. Human-Robot Control. . Cooperative communications of multi-agent robotic systems. Examples of intelligent robotic systems and analysis. Multi-agent Robotics Systems.
        Contents of exercises Computer simulation exercises onpersonal computer (MATLAB, Simulink) using special robotic software, Conducted various simulation experiments. In accordance with available robotic systems, possible laboratory and experimental work.
        Literature
        1. D.Katić, M.Vukobratović, Intelligent Control of Robotic Systems, Kluwer Academic Publishers, 2003.
        2. R.Arkin, Behaviour-Based Robotics, MIT Press, 1998.
        3. S.Patnaik, Robot Cognition and Navigation: An Experiment with Mobile Robots , Springer+Verlag, 2007
        4. M. E. Jefferies, W.-K. Yeap, Robotics and Cognitive Approaches to Spatial Mapping, springer-Verlag,2008.
        5. S.Thrun, W.Burgard, D.Fox, Probabilistic Robotics, The MIT Press, 2006.
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        6
        Methods of teaching Consultation
        Knowledge score (maximum points 100)
        Pre obligations Points Final exam Points
        Activites during lectures 0 Test paper 0
        Practical lessons 0 Oral examination 30
        Projects
        Colloquia 0
        Seminars 70