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Seminar Optimal Control and Learning for Legged Locomotion

CIT4320004Examination Performance5 ECTSEnglishsummer semesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

The seminar deals with modeling, control, optimal control and learning methods for running robots. You will gain an overview of current methods from Optimal Control and (Deep) Reinforcement Learning and you will be able to assess the pros and cons of common approaches as well as identify open research questions.

What you will be able to do

  • Fundamentals of modeling legged robots
  • Basic principles of control for aging robots
  • Concepts of optimal control for locomotion
  • Methods of learning locomotion capabilities
  • Critical evaluation of current research papers

What the module consists of

  • Introductory lecturesConveying the fundamentals of modeling and control
  • Literature seminarDepth: selection, familiarization and presentation of a current research article

Teaching method

  • Lectures by the lecturerConveying the fundamental concepts at the beginning
  • Selection and independent analysis of research articlesEnables deep engagement with a current topic
  • Student presentations with discussionFosters understanding, critical discussion and communication skills
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Official page in TUMonline · Details are not binding.