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Estimation of phases for compliant motion: Auto-regressive HMM, multi-class logistic regression, Learning from Demonstration (LfD), Gradient descent optimization,
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Aalto University . (Intelligent Robotics research group)
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , p. 68
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-65613OAI: oai:DiVA.org:ltu-65613DiVA, id: diva2:1140964
External cooperation
Aalto University School of Electrical Engineering (Aalto), Finland; Julius-Maximilians Universität Würzburg (JMUW), Germany
Subject / course
Student thesis, at least 30 credits
Educational program
Space Engineering, master's level (120 credits)
Presentation
2017-08-25, Helsinki, 10:39 (English)
Supervisors
Examiners
Available from: 2017-09-28 Created: 2017-09-13 Last updated: 2017-09-28Bibliographically approved

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fulltext(5554 kB)13 downloads
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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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf