On the ecological approach to Information and control for roboticists
Entity
UAM. Departamento de Psicología BásicaPublisher
InTech Open Access PublisherDate
2013Citation
10.5772/55671
International Journal of Advanced Robotic Systems 10.265 (2013): 1-11
ISSN
1729-8806 (print); 1729-8814 (online)DOI
10.5772/55671Funded by
This material is based upon work supported by grant FFI2009‐13416‐C02‐02 of the Spanish Ministry of Science and Innovation.Project
Gobierno de España. FFI2009‐13416‐C02‐02Editor's Version
http://dx.doi.org/10.5772/55671Subjects
Ecological Robotics; Higher Order Information; Active Perception; Smart Perceptual Devices; Information Based Control; Prospective Control; Direct Learning; Robótica e Informática Industrial / RobóticaRights
© 2013 Ibáñez-Gijón et al.; licensee In Tech.Abstract
The ongoing and increasingly important trend in robotics to conceive designs that decentralize control is paralleled by currently active research paradigms in the
study of perception and action. James Gibson’s ecological approach is one of these paradigms. Gibson’s approach emerged in part as a reaction to representationalist and
computationalist approaches, which devote the bulk of their resources to the study of internal processes. The ecological approach instead focuses on constraints and
ambient energy patterns in the animal‐environment coalition. The present article reviews how the emphasis on the environment by ecological psychologists has given
rise to the concepts of direct perception, higher order information, active information pick up, informationbased control laws, prospective control, and direct learning. Examples are included to illustrate these concepts and to show how they can be applied to the
construction of robots. Action is described as emergent and self‐organized. It is argued that knowledge about perception, action, and learning as it occurs in living organisms may facilitate the construction of robots, more obviously so if the aim is to construct (to some extent) biologically plausible robots.
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Google Scholar:Ibañez Gijón, Jorge
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Díaz, Alex
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Lobo, Lorena
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Jacobs, David
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