392144 Kognitive Robotik (V) (SoSe 2023)

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Die Vorlesung bietet eine Einführung in Fragestellungen und Ansätze zur
Realisierung künstlicher kognitiver Systeme mit dem Schwerpunkt Robotik.
Zu den behandelten Gebieten gehören Navigation und Umgebungskartierung,
Planungsverfahren, Lernverfahren für kognitive Roboter,
Interaktion mit Objekten, Soziale Roboter, Roboterkognition,
Architekturen und Benchmarkingansätze für kognitive Systeme.

The lecture provides an introduction to research questions and approaches for
the realization of artificial cognitive systems with an emphasis on robotics.
Covered areas include navigation and mapping, planning methods, machine learning for cognitive robots, interaction with objects, social robots, robot cognition, architectures and benchmarking approaches for cognitive systems.

Requirements for participation, required level

Empfohlene Vorkenntnisse:
Neuronale Netze und Lernen
Bildverarbeitung
Vertiefung Mathematik

Recommended:
Neural Networks and Learning
Image recognition
Mathematics for computer science

Bibliography

  • Samani, Hooman: Cognitive Robotics

* Vernon, David: Artificial Cognitive Systems
* Sendhoff et al.: Creating Brain-Like Intelligence
* Thrun, Burgard, Fox: Probabilistice Robotics
* Bekey: Autonomous Robotics. MIT Press

(wird in der Vorlesung um aktuelle Forschungsartikel ergänzt/will be completed during the lecture with pertinent research papers)

Teaching staff

Dates ( Calendar view )

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Subject assignments

Module Course Requirements  
39-M-Inf-KR Kognitive Robotik Kognitive Robotik Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

Jeder Teilnehmer bearbeitet mindestens zwei Übungsaufgaben und trägt die Ergebnisse vor. Alternativ kann auch ein Miniprojekt bearbeitet und vorgestellt werden. Eine dritte Möglichkeit ist eine mündliche Prüfung.

Each participant is expected to perform at least two practical exercise problems and present them. Alternatively it is possible to carry out a miniproject and present it. A third way is an oral exam.

E-Learning Space
E-Learning Space
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SS2023_392144@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, January 2, 2023 
Last update times:
Tuesday, February 14, 2023 
Last update rooms:
Tuesday, February 14, 2023 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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396830570