Visual Learning of Affordance Based Cues View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2006

AUTHORS

Gerald Fritz , Lucas Paletta , Manish Kumar , Georg Dorffner , Ralph Breithaupt , Erich Rome

ABSTRACT

This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional views on visual feature representations, we identify the importance of learning in perceptual cueing for the anticipation of opportunities for interaction of robotic agents. We investigate how the originally defined representational concept for the perception of affordances – in terms of using either optical flow or heuristically determined 3D features of perceptual entities – should be generalized to using arbitrary visual feature representations. In this context we demonstrate the learning of causal relationships between visual cues and predictable interactions, using both 3D and 2D information. In addition, we emphasize a new framework for cueing and recognition of affordance-like visual entities that could play an important role in future robot control architectures. We argue that affordance-like perception should enable systems to react to environment stimuli both more efficient and autonomous, and provide a potential to plan on the basis of responses to more complex perceptual configurations. We verify the concept with a concrete implementation applying state-of-the-art visual descriptors and regions of interest that were extracted from a simulated robot scenario and prove that these features were successfully selected for their relevance in predicting opportunities of robot interaction. More... »

PAGES

52-64

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11840541_5

DOI

http://dx.doi.org/10.1007/11840541_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030280141


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221 schema:name Fraunhofer Institute for Autonomous Intelligent Systems, Robot Control Architectures, Schloss Birlinghoven, Sankt Augustin, Germany
222 rdf:type schema:Organization
223 grid-institutes:grid.8684.2 schema:alternateName Institute of Digital Image Processing, Computational Perception Group, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Wastiangasse 6, Graz, Austria
224 schema:name Institute of Digital Image Processing, Computational Perception Group, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Wastiangasse 6, Graz, Austria
225 rdf:type schema:Organization
 




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