Title | ||
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Computational models of affordance in robotics: a taxonomy and systematic classification. |
Abstract | ||
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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 |
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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 Zech | 1 | 54 | 5.91 |
Simon Haller | 2 | 18 | 1.69 |
Safoura Rezapour Lakani | 3 | 10 | 1.87 |
Barry Ridge | 4 | 17 | 3.81 |
Emre Ugur | 5 | 298 | 21.25 |
Justus H. Piater | 6 | 543 | 61.56 |