Paper Info
Title
Enactive self: A study of engineering perspectives to obtain the sensorimotor self through enaction.
Abstract
In this paper we discuss the enactive self from a computational point of view and study the suitability of current methods to instantiate it onto robots. As an assumption, we consider any cognitive agent as an autonomous system that constructs its identity by continuous interaction with the environment. We start examining algorithms to learn the body-schema and to enable tool-extension, and we finalise by studying their viability for generalizing the enactive self computational model. This paper points out promising techniques for bodily self-modelling and exploration, as well as formally link sen-sorimotor models with differential kinematics. Although the study is restricted to basic sensorimotor construction of the self, some of the analysed works also traverse into more complex self constructions with a social component. Furthermore, we discuss the main gaps of current engineering approaches for modelling enactive robots and describe the main characteristics that a synthetic sensorimotor self-model should present.
Year
Venue
Field
2017
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics ICDL-EpiRob
Kinematics,Generalization,Computer science,Robot kinematics,Human–computer interaction,Self,Autonomous system (mathematics),Robot,Continuous interaction,Traverse
DocType
ISSN
Citations 
Conference
2161-9484
2
PageRank 
References 
Authors
0.38
21
3
Name
Order
Citations
PageRank
Pablo Lanillos1557.80
Emmanuel C. Dean-Leon26215.39
Gordon Cheng31250115.33