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Model-Based Environmental Visual Perception for Humanoid Robots

Gonzalez Aguirre, David Israel

Abstract:
The visual perception of a robot should answer two fundamental questions: What? and Where? In order to properly and efficiently reply to these questions, it is essential to establish a bidirectional coupling between the external stimuli and the internal representations. This coupling links the physical world with the inner abstraction models by sensor transformation, recognition, matching and optimization algorithms. The objective of this PhD is to establish this sensor-model coupling.

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Volltext §
DOI: 10.5445/IR/1000038672
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Hochschulschrift
Publikationsjahr 2013
Sprache Englisch
Identifikator urn:nbn:de:swb:90-386724
KITopen-ID: 1000038672
Verlag KIT, Karlsruhe
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Anthropomatik (IFA)
Prüfungsdaten 25.10.2013
Referent/Betreuer Prof. R. Dillmann
Schlagwörter Robot Vision, Humanoids, Recognition, Localization, HDR Imaging, Perception
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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