Lecture: Embodied Artificial Intelligence - Details
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General information

Course name Lecture: Embodied Artificial Intelligence
Course number INF-0509
Semester SS 2024
Current number of participants 10
expected number of participants 18
Home institute Professur für intelligente Perzeption in technischen Systemen - Prof. Dr. Jörg Stückler
Courses type Lecture in category Teaching
Next date Wednesday, 29.05.2024 12:15 - 13:45, Room: (1057 N)
Online/Digitale Veranstaltung Veranstaltung wird in Präsenz abgehalten.
Hauptunterrichtssprache englisch
ECTS points 8

Rooms and times

(1057 N)
Wednesday: 12:15 - 13:45, weekly (13x)
(202 F1)
Monday, 26.08.2024 - Friday, 30.08.2024, Monday, 02.09.2024 - Friday, 06.09.2024, Friday, 20.09.2024 09:00 - 18:00

Module assignments


Embodied artificial intelligence is about intelligent agents, such as robots, which learn to solve tasks that require perception and interaction with the environment through the agent's embodiment (sensors and actuators). This course teaches fundamentals and contemporary methods and algorithms for embodied artificial intelligence. It consists of a lecture part and an exercise part in which students will gain practical experience in embodied AI in team projects. While the lecture will be given during the lecture period, the team project exercises will be conducted in a block in the lecture free period. Further information on the course schedule and organization will be provided in the preliminary meeting (first lecture) in the first lecture week.

The number of participants in this course is limited. Places in the course will be assigned by the course organizers after the preliminary meeting in the first lecture week.

Prerequisites for this course:
- Basic programming knowledge in Python
- Basic knowledge in Deep Learning
- Recommended: Successful participation in modules INF-0316 “Machine Learning and Computer Vision” or INF-0476 “Computer Vision for Intelligent Systems”

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.