392158 Expressing robot functioning for understandable learning (S) (WiSe 2019/2020)

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This seminar will take place as a block at the end of the semester (12.-14.02.2020, room TBA).
We will meet once in CITEC 1.204 on Wednesday, 09.10.2019 14-16 (ct). This meeting is mandatory as seminar topics will be presented and assigned.

With the deployment of robots in complex social environments, like private households, research faces new challenges. In complex and dynamic environments and with tasks depending on the users’ personal preferences, it is not possible to equip a social robot with every skill it might require. Therefore, social robots need to be trained by naive users to adapt to their needs. This entails not only fast and efficient learning algorithms, but also a system that is transparent for a naive teacher that is not an expert of the system.
In this seminar, we will investigate how a social robot could maximize understanding in users. For this we will consider different types of feedback a robot can produce to express:

  • What the limits of the robot are (on a perception level, but also w.r.t. learning and execution capabilities)
  • How samples for the learning algorithm have to be provided (interaction).
  • How learning takes place.
  • What the robot learned and how this contributes to achieving a specified goal.

The seminar will be held in English.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
block Block 9-17 CITEC-Raum 12.-14.02.2020

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Subject assignments

Module Course Requirements  
39-M-Inf-KAL Kognitive Aspekte des Lernens Seminar zum Thema soziale Kognition/Interaktion oder Biopsychologische Ansätze des Lernens Ungraded examination
Graded examination
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WS2019_392158@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, July 8, 2019 
Last update times:
Thursday, September 26, 2019 
Last update rooms:
Thursday, September 26, 2019 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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180840444