SubjectsSubjects(version: 945)
Course, academic year 2023/2024
   Login via CAS
Autonomous robotics - NPGR040
Title: Autonomní robotika
Guaranteed by: Department of Software and Computer Science Education (32-KSVI)
Faculty: Faculty of Mathematics and Physics
Actual: from 2019
Semester: winter
E-Credits: 5
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Additional information:
Guarantor: prof. Ing. Václav Hlaváč, CSc.
Class: Informatika Bc.
Informatika Mgr. - volitelný
Classification: Informatics > Computer Graphics and Geometry
Incompatibility : NPGR001
Interchangeability : NPGR001
Is incompatible with: NPGR001
Is interchangeable with: NPGR001
Annotation -
Last update: RNDr. Tomáš Holan, Ph.D. (27.09.2018)
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.
Course completion requirements - Czech
Last update: RNDr. Tomáš Holan, Ph.D. (27.09.2018)


Literature -
Last update: RNDr. Tomáš Holan, Ph.D. (27.09.2018)

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.

Syllabus -
Last update: RNDr. Tomáš Holan, Ph.D. (27.09.2018)

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.

Charles University | Information system of Charles University |