Foundations of Robotics (Robotics I)

Professor Prof. Dr. Andreas Zell
Office hours Wednesday 13:30 - 15:00
Lecture time Tuesday 14:15 - 16:00
Start Tuesday 19.10.2021
Location Morgenstelle, lecture hall N4
Stream In parallel, the lecture is streamed (and recorded) via Zoom:
https://zoom.us/j/93167948386?pwd=dUN6dTBJSVFDekZ0QnppSTlFM0Jydz09
Meeting-ID: 931 6794 8386
Code: 900380
Credits 6 LP
Cycle yearly
Exam Tuesday, 15.02.2022, at 14 o'clock in lecture hall N06 (Morgenstelle)
Alma-Portal Foundations of Robotics

Please join this lecture on ILIAS.

Description:

The Foundations of Robotics lecture covers the mathematical and technical foundations of robotics, in particular stationary robots (manipulators). Topics:

  1. Introduction, goals, and applications in robotics
  2. Coordinate systems and transformations
  3. Manipulator kinematics
  4. Inverse manipulator kinematics
  5. Velocities and accelerations (Jacobi matrix, inverse)

The follow-up lecture (Mobile Robots) in the summer semester will focus on mobile robots.

Requirements:

5th semester and above, primarily linear algebra from Mathematics I-III is required.

Literature:

Script A. Zell: Robotics I,
P.J. McKerrow: Introduction to Robotics, Addison-Wesley

Exercise sessions (Übungen)

Tutors Mario Laux, Yitong Quan, Jonas Tebbe
Date of the exercise sessions Tuesday 16:15 - 18:00 Uhr
Location Morgenstelle, lecture hall N4
Stream

In parallel, the session is streamed via Zoom:

https://zoom.us/j/94406472613?pwd=ZnRPSEpvQ1BxbWhpeTJuR05xdndGUT09
Meeting-ID: 944 0647 2613
Kenncode: 354721

Issue of exercise sheets each week via ILIAS
Submission of solved sheets: as PDF via ILIAS, 1 week after
Return of graded sheets via ILIAS, Solutions presented in the exercise sessions

Remarks

  • The exercises are to be handed in in teams of two.
  • Please ask questions about the exercises to the supervisors through the forum in ILIAS, so that all participants can benefit from it.
  • Even if the tasks were solved using tools such as wxMaxima, source code alone is not accepted as a solution. The solution path and the final result must be clearly evident.

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