392144 Kognitive Robotik (V) (SoSe 2022)
Contents, comment
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Die hybride 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.Wir beginnen die Veranstaltung zunächst in virtuellem (Zoom) Format um später im Semester ins Präsenzformat zu wechseln.
The hybrid 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.We will start in virtual lecture mode via zoom and plan to switch to presence mode later in the semester.
Requirements for participation, required level
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Empfohlene Vorkenntnisse:
Neuronale Netze und Lernen
Bildverarbeitung
Vertiefung MathematikRecommended:
Neural Networks and Learning
Image recognition
Mathematics for computer science
Bibliography
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- 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 )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
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
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 14
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2022_392144@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_323956488@ekvv.uni-bielefeld.de
- Coverage:
- 12 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Sunday, January 30, 2022
- Last update times:
- Wednesday, April 6, 2022
- Last update rooms:
- Wednesday, April 6, 2022
- Type(s) / SWS (hours per week per semester)
- V / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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- Clashing dates for this course
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- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=323956488
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- ID
- 323956488