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Framework for Classical Conditioning in a MobileRobot: Development of Pavlovian Model andDevelopment of Reinforcement Learning Algorithmto Avoid and Predict Noxious Events
Örebro University, School of Science and Technology, Örebro University, Sweden.
2014 (English)Student paper other, 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Nowadays, robots have more and more sensors and the technologies allow

using them with less contraints as before. Sensors are important to learn about

the environment. But the sensors can be used for classical conditioning, and

create behavior for the robot. One of the behavior developed in this thesis is

avoiding and predicting obstacles.

The goal of this thesis is to propose a model which consists of developing a

specific behavior to avoid noxious event, obstacles.

Place, publisher, year, edition, pages
2014. , 39 p.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:oru:diva-35771OAI: oai:DiVA.org:oru-35771DiVA: diva2:734283
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2014-07-16 Created: 2014-07-16 Last updated: 2015-08-07Bibliographically approved

Open Access in DiVA

fulltext(2370 kB)267 downloads
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8328426a82750c48afa8e7343cc3abbd985d3832d3d12886238a6472d23314bdf2991c1b5897c1e642fd55ccb0eab717ffec515e3c7b9fa0ae20c9e880b0b4dd
Type fulltextMimetype application/pdf

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School of Science and Technology, Örebro University, Sweden
Computer Engineering

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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