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Advanced Robot Control and Learning

IN2376Elective Modules Informatics6 ECTSEnglishwinter semesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn advanced methods of robot control, modeling, identification and bio-inspired adaptive impedance control as well as current learning approaches for physical systems. In the end you will be able to dynamically model robots, design modern controllers, exploit redundancy and apply learning procedures to real robotics tasks.

What you will be able to do

  • Understand robot problems from the perspective of differential geometry
  • Identify and determine robot dynamics
  • Solve modern control problems with advanced methods
  • Understand and exploit redundancy in robotics
  • Design robust controllers
  • Design bio-inspired controllers
  • Apply learning methods in robotics

What the module consists of

  • VorlesungVermittlung theoretischer Grundlagen zu Kontrolle, Modellierung, Identifikation und Lernen
  • ÜbungenAufgaben werden bereitgestellt, präsentiert und im Unterricht diskutiert; Musterlösungen verfügbar
  • Robothon (praktischer Kurs, 1 Woche)Teamprojekt mit Planung, Implementierung und Live-Demonstration realer Robotikprobleme

Teaching method

  • PräsentationenEinführung und Erklärung der Inhalte
  • Übungen mit MusterlösungenAnwendung und Vertiefung der Theorie
  • Robot hands-on / RobothonPraktische Erfahrung an realen Robotersystemen; Projektarbeit und Demonstration
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Official page in TUMonline · Details are not binding.