0000002824 20W 6SWS PR Masterpraktikum - Modular Robotics (IN0012, IN2106, IN4291)   Hilfe Logo

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Masterpraktikum - Modular Robotics (IN0012, IN2106, IN4291) 
practical training
Winter semester 2020/21
... alle LV-Personen
Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
(Contact information)
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Angaben zur Abhaltung
The preliminary meeting will be on 15 July 2020 at 12 PM at https://bbb.rbg.tum.de/pau-dwu-h9q

Additional information about the course can be found here:

This laboratory is a hybrid of theoretically conveyed contents, which are applied practically and further developed in subsequent group work. Contents are put into practice on modular, self-programming robots. The laboratory is divided into three phases:

I. Theory
First, the background of collaborative, human-friendly robots is clarified and an overview is provided.

II. Practical application
This is followed by exercises on various use cases of collaborative robots in a simulation environment. This is followed by potential different topics: benchmarks in which conventional lightweight robots are compared with novel modular robots, different types of robot programming, the optimization of motion planning, or safe, physical human-robot collaboration.

III. Development work
After the basics have been discussed, various topics are further developed in small groups of 2-5 students. The topics include robot programming, software development, user interface design, CAD design and mechanics, end effector connection, control engineering and augmented reality.
Students with a background in computer science, mechanical engineering, electrical engineering, information technology and robotics are welcome.

Several of the following skills are beneficial:
– Robotics
– real-time systems
– MATLAB/Simulink
– C/C++
– robot control
– 3D printing
– Mechanics, multi-body systems
– Electrical drive technology
– Augmented Reality
– iOS/Android Programming
Upon successful completion of this laboratory, students will be able to understand and apply the theory behind collaborative, modular robots. In addition, they learn about robot programming and control, mechanics, kinematics and dynamics, and user interfaces. Upon completion of the module, students will be able to plan and execute a project as a team.
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
– Introduction to Robotics: Mechanics and Control, 3rd Edition, John J. Craig, Pearson.
– Siciliano, O. Khatib, Springer Handbook of Robotics, Springer, 2016.
Online information
e-learning course (moodle)