Autonomous Robotics

The course cannot be taken simultaneously with:

Autonomous Robotics (BE3M33ARO)
Autonomous Robotics (B3M33ARO)
Autonomous Robotics (B3M33ARO1)

The course is a substitute for:

Autonomous Robotics (BE3M33ARO)
Autonomous Robotics (B3M33ARO)
Autonomous Robotics (B3M33ARO1)

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

The Autonomous robotics course will explain the principles needed to develop algorithms for intelligent mobile robots such as algorithms for:

(1) Mapping and localization (SLAM) sensors calibration (lidar or camera).

(2) Planning the path in the existing map or planning the exploration in a partially unknown map and performing the plan in the world.

IMPORTANT: It is assumed that students of this course have a working knowledge of optimization (Gauss-Newton method, Levenberg Marquardt method, full Newton method), mathematical analysis (gradient, Jacobian, Hessian), linear algebra (least-squares method), probability theory (multivariate gaussian probability), statistics (maximum likelihood and maximum aposteriori estimate), python programming and machine learning algorithms.

Requirements:

It is assumed that students of this course have a working knowledge of optimization (Gauss-Newton method, Levenberg Marquardt method, full Newton method), mathematical analysis (gradient, Jacobian, Hessian, multidimensional Taylor polynomial), linear algebra (least-squares method), probability theory (multivariate gaussian probability), statistics (maximum likelihood and maximum aposteriori estimate), python programming and machine learning algorithms.

Syllabus of lectures:

https://cw.fel.cvut.cz/b212/courses/aro/lectures/start

Syllabus of tutorials:

https://cw.fel.cvut.cz/b212/courses/aro/tutorials/start

Study Objective:

Study materials:

1. Siciliano, Bruno and Sciavicco, Lorenzo and Villani, Luigi and Oriolo, Giuseppe: Robotics, Modelling,

Planning and Control, Springer 2009

2. Fahimi, F.: Autonomous Robots: Modeling, Path Planning, and Control, Springer 2009

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/aro

No time-table has been prepared for this course

The course is a part of the following study plans:

• Aerospace Engineering - study branch Avionics (compulsory elective course)
• Cybernetics and Robotics (compulsory course in the program)