Title
Computational models of affordance in robotics: a taxonomy and systematic classification.
Abstract
J. J. Gibson’s concept of affordance, one of the central pillars of ecological psychology, is a truly remarkable idea that provides a concise theory of animal perception predicated on environmental interaction. It is thus not surprising that this idea has also found its way into robotics research as one of the underlying theories for action perception. The success of the theory in this regard has meant that existing research is both abundant and diffuse by virtue of the pursuit of multiple different paths and techniques with the common goal of enabling robots to learn, perceive, and act upon affordances. Up until now, there has existed no systematic investigation of existing work in this field. Motivated by this circumstance, in this article, we begin by defining a taxonomy for computational models of affordances rooted in a comprehensive analysis of the most prominent theoretical ideas of import in the field. Subsequently, after performing a systematic literature review, we provide a classification of ex...
Year
Venue
Field
2017
Adaptive Behaviour
Systematic review,Computer science,Computational model,Virtue,Ecological psychology,Artificial intelligence,Robot,Perception,Affordance,Robotics,Machine learning
DocType
Volume
Issue
Journal
25
5
Citations 
PageRank 
References 
6
0.45
85
Authors
6
Name
Order
Citations
PageRank
Philipp Zech1545.91
Simon Haller2181.69
Safoura Rezapour Lakani3101.87
Barry Ridge4173.81
Emre Ugur529821.25
Justus H. Piater654361.56