0000001160 21S 4SWS FO Project Laboratory Networked and Cooperative Control   Hilfe Logo

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Allgemeine Angaben
Project Laboratory Networked and Cooperative Control 
research lab training
Summer semester 2021
Chair of Information-oriented Control (Prof. Hirche)
(Contact information)
Allocations: 1 
Angaben zur Abhaltung
The project works concern hardware and software topics mainly in the telepresence operation of robotic manipulators. The focus lies in the application of signal processing, machine learning, controller design and human-machine collaboration in robotic systems.
Fundamentals of control engineering and robotics
Programming in C/C++ or Java

The following modules should have been successfully completed before attending this module:
Control systems 1
Fundamentals of Intelligent Robots
At the end of the module, each of the students will be expected to possess the ability to independently solve control-oriented problems in the application domain by using machine learning. Specifically, students will learn how to process digital signals, how to use machine learning to process the sampled data and extract motion features of the human, and how to design a controller for the robotic system based on these data. In addition, the students will also improve their competences in efficient and problem-oriented team working.
  • English
  • German

The students will obtain a deeper understanding of the matter through practical implementation as well as through critical discussion of the experimental results in an oral presentation. Each member of the course will individually complete the project result, presentation, and demonstration in simulation and/or laboratory experiments under the supervision of the associated adviser.
The organizer of the course will introduce and explain the topic in detail. Some selected papers, as well as tips for the report and the presentation, will also be recommended to the students to facilitate their project works.
The main goal of this lecture is to help the students develop a high level of independence in finding solutions to an unfamiliar problem and prepare for their future works and research.
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Notice: Recommended papers are listed as follows. These two papers will help the students to establish an intuitive understanding of how EMG signals can be utilized to control the robotic system.

[1] Yang, D. P., Zhao, J. D., Gu, Y. K., Wang, X. Q., Li, N., Jiang, L., ... & Zhao, D. W. (2009). An anthropomorphic robot hand developed based on underactuated mechanism and controlled by EMG signals. Journal of Bionic Engineering, 6(3), 255-263.
[2] Fukuda, O., Tsuji, T., Kaneko, M., & Otsuka, A. (2003). A human-assisting manipulator teleoperated by EMG signals and arm motions. IEEE Transactions on Robotics and Automation, 19(2), 210-222.
Online information
e-learning course (moodle)