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The subject will teach students the principles needed to create/use robots able to perceive the surrounding world
and understand it, plan the activity of robots with in it including the possibility to modify it.
Architectures of robots with cognitive abilities will be explained and their implementations demonstrated.
Students will experiment in labs/exercises with robots.
The studied matter has a wider applicability in designing and building of intelligent machines.
Last update: Holan Tomáš, RNDr., Ph.D. (27.09.2018)
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viz http://people.ciirc.cvut.cz/~hlavac/teaching/MFFUK-NPGR001/Zima2018/ Last update: Holan Tomáš, RNDr., Ph.D. (27.09.2018)
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Siciliano, Bruno and Sciavicco, Lorenzo and Villani, Luigi and Oriolo, Giuseppe: Robotics, Modelling, Planning and Control, Springer 2009 Fahimi, F.: Autonomous Robots: Modeling, Path Planning, and Control, Springer 2009 Steven M. LaValle. Planning Algorithms, Cambridge University Press, 2006. B. Siciliano, O. Khatib (editoři). Handbook of Robotics, Springer-Verlag, Berlin 2008. P. Vysoký: Padesát let kybernetiky. Vesmír, svazek 77, listopad 1998, ss. 626-633. Last update: Holan Tomáš, RNDr., Ph.D. (27.09.2018)
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01. Robotics, motivation. Autonomous robot. Architectures of autonomous robots. Feedback. 02. Geometry for kimenatics. Objects. Semantics is needed to represent objects. 03. Goemetry of one or more cameras. 04. Shape from motion. Depth maps, their acquisition from different sensors. 05. Manipulator. Robot kinematics. Robot statics and dynamics briefly. 06. Mobile robot. Configuration space. Trajectory generation. ROS. 07. Actuators in robotics. 08. Sensors in robotics. 09. Robot path planning, deterministic methods. 10. Robot path planning, probabilistic methods. 11. Sensor fusion. 12. Simultaneous localization and mapping (SLAM). 13. Tactile feedback in robotics. 14. Force compliant robot. Manipulation tasks. Grippers. Last update: Holan Tomáš, RNDr., Ph.D. (27.09.2018)
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