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Semantics in Robot Perception and Decision-Making Seminar Course

CIT433026Examination Performance5 ECTSEnglishWintersemester/SommersemesterDepartment Computer Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will engage with semantic-based approaches for robot perception and decision making. You analyze and compare current research, implement a selected method practically, and thereby learn to assess the strengths and limitations of the methods.

What you will be able to do

  • Conduct a systematic literature review
  • Compare and contrast different concepts
  • Rapid prototyping of existing algorithms
  • Identify the impact and limitations of scientific works
  • Written and oral presentation of results
  • Structure research results and collaborate in groups

What the module consists of

  • Introductory lecturesProvide an introduction to the topic and relevant concepts
  • Regular meetings with scientific supervisionSupport in literature selection, feedback on report and presentation
  • Self-study / reading groupsEnable in-depth engagement with the literature
  • Implementation workPractical reproduction or implementation of a state-of-the-art approach

Teaching method

  • Introductory lecturesConveying the fundamentals and orientation in the topic area
  • Guided literature researchHelps in finding relevant works and critical reading
  • Regular feedback from supervisorEnsures progress and quality of report and implementation
  • In-class activities and reading groupsFoster discussion, collaborative work and independent research

Dates

SeminarScientific Seminar: Semantics in Robot Perception and Decision-Making

  • Thu15:00–16:30N2408, Seminarraum (0104.02.408)
    14× · 15.10.–04.02.
    • 15.10.
    • 22.10.
    • 29.10.
    • 05.11.
    • 12.11.
    • 19.11.
    • 26.11.
    • 10.12.
    • 17.12.
    • 07.01.
    • 14.01.
    • 21.01.
    • 28.01.
    • 04.02.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.