Robot Learning

  • Type: Proseminar (PS)
  • Chair: KIT-Fakultäten - KIT-Fakultät für Informatik - Institut für Anthropomatik und Robotik - IAR Lioutikov
  • Semester: SS 2024
  • Lecturer: TT-Prof. Dr. Rudolf Lioutikov
    Paul Mattes
  • SWS: 2
  • Lv-No.: 2400180
  • Information: On-Site
Content

Robot Learning develops and applies Machine Learning methods to improve the behavior of robots in autonomous and interactive scenarios. It encapsulates fields such as:

  • Imitation-Learning
  • Reinforcement-Learning
  • Generative AI
  • Explainable AI
  • Human-Robot Interaction

In this Proseminar the students will learn to read, summarize and review research papers in these fields. The students will arrange in small groups, work through several state-of-the-art research papers together with their supervisors and subsequently present their findings.

Language of instructionEnglish