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STUDY PLANS
2023/2024
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Intelligent robotics

The course is not on the list Without time-table
Code Completion Credits Range Language
A3M33IRO Z,ZK 7 3P+2L Czech

It is not possible to register for the course A3M33IRO if the student is concurrently registered for or has already completed the course AE3M33IRO (mutually exclusive courses).

It is not possible to register for the course A3M33IRO if the student is concurrently registered for or has already completed the course BE3M33ARO (mutually exclusive courses).

It is not possible to register for the course A3M33IRO if the student is concurrently registered for or has previously completed the course BE3M33ARO (mutually exclusive courses).

The requirement for course A3M33IRO can be fulfilled by substitution with the course BE3M33ARO.

The requirement for course A3M33IRO can be fulfilled by substitution with the course AE3M33IRO.

It is not possible to register for the course A3M33IRO if the student is concurrently registered for or has previously completed the course AE3M33IRO (mutually exclusive courses).

Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Cybernetics
Synopsis:

The subject teaches principles allowing to build robots perceiving surrounding world and activities in it including the abilities to modify it. Various architectures of robots with cognitive abilities and their realizations will be studied. Students will experiment with robots in practical assignments. Studied material is applicable more widely while building intelligent machines.

Requirements:
Syllabus of lectures:

1. Robotics, its historic and societal grounding.

2. Robot kinematics.

3. Robot kinematics. Dynamics. Statics.

4. Different robots, their design, sensors and actuators.

5. Architectures of intelligent robots. Feedback.

6. Inertial sensors, GPS, odometry.

7. Additional sensors (senses) for intelligent robotics.

8. Visual servoing.

9. Representing surrounding world of the robot.

10. Planning in robotics. Discrete planning formalism.

11. Planning as sampling in configuration space (C-space). Planning under constraints.

12. Localization and mapping.

13. Humanoid robots.

Syllabus of tutorials:

1. Introduction to the laboratory. Homework 1 assignment.

2. Consultations, work with robots.

3. Consultations, work with robots.

4. Consultations, work with robots.

Homework 1 handover.

5. Planning tools. Homework 2 assignment.

6. Experiments with planning tasks.

7. Consultations, work with robots.

8. Written test. Consultations, work with robots.

9. Consultations, work with robots. Homework 2 handover.

10. Experiments with sensors for perception. Homework 3 assignment.

11. Consultations, work with robots.

12. Consultations, work with robots.

13. Consultations, work with robots. Homework 3 handover.

14. Written test 2. Credit.

Study Objective:
Study materials:

1. Steven M. LaValle. Planning Algorithms, Cambridge University Press, 2006, 842 s.

2. R. Pfeifer, C. Scheie. Understanding Intelligence, MIT Press, 2002.

3. B. Siciliano, O. Khatib (editoři): Handbook of Robotics, Springer-Verlag, Berlin 2008.

Note:
Further information:
http://cw.felk.cvut.cz/doku.php/courses/a3m33iro/start
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-03-27
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