back to search

Master Seminar - Artificial Intelligence und Machine Learning Trends in der Robotik

ED110071International Experience3 ECTSEnglishsummer semesterProfessur für Autonomous Aerial Systems (Prof. Ryll)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You engage with current developments at the interface of Artificial Intelligence, Machine Learning and related software technologies in robotics. In the module you analyze trends for components of a robotics software stack (e.g., Perception, Planning, Control) and for different applications (e.g., UAVs, Autonomous Driving, Human–Robot Interaction). At the end you will be able to access scientific papers on these topics, evaluate trends and classify the state of the art.

What you will be able to do

  • Access scientific papers in the field of robotics
  • Deepened understanding when reading scientific publications
  • Identify and cluster trends
  • Evaluate the impact of trends
  • Understand the current state of the art in robotics
  • Practice scientific writing
  • Train presentation skills in a scientific context

What the module consists of

  • SeminarPresentations and discussions on current research topics
  • Selbststudium/RechercheIndependent or partner research on a chosen topic

Teaching method

  • SeminarpräsentationenEnable the presentation and discussion of the researched topics
  • DiskussionenPromote critical engagement and peer feedback
  • Individuelle/Partner-RechercheEnables in-depth work on a specific topic
No dates in the current semester
There are no course dates for this module this semester, or they haven't been matched yet.
Show TUMonline data
Sprache
Englisch
Turnus
Sommersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
90
Präsenzstunden
30
Eigenstudiumstunden
60
Organisationsname
Professur für Autonomous Aerial Systems (Prof. Ryll)

Courses

  • Master Seminar - Artificial Intelligence und Machine Learning Trends in der Robotik

Official page in TUMonline · Details are not binding.