2013
DOI: 10.1142/s0219525912500786
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Bootstrapping Perception Using Information Theory: Case Studies in a Quadruped Robot Running on Different Grounds

Abstract: Animals and humans engage in an enormous variety of behaviors which are orchestrated through a complex interaction of physical and informational processes: The physical interaction of the bodies with the environment is intimately coupled with informational processes in the animal's brain. A crucial step toward the mastery of all these behaviors seems to be to understand the flows of information in the sensorimotor networks. In this study, we have performed a quantitative analysis in an artificial agent — a run… Show more

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Cited by 24 publications
(29 citation statements)
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“…For instance, in a robot study, Maye and Engel (2011) describe in probabilistic terms the transitions between sensed situations and action outcomes of the closed-loop system, constructing what can be considered slices through a stochastic SM habitat. Similarly, Schmidt et al (2012) have studied the statistical information transfer between the different sensors and motors of a compliant quadruped robot that is controlled by externally induced (open-loop) leg actuations. Their approach reveals that directional correlations between sensors and motors depend on the environment (type of floor surface) and the body structure (hip actuators driving hip angle sensors in the same leg).…”
Section: Discussionmentioning
confidence: 99%
“…For instance, in a robot study, Maye and Engel (2011) describe in probabilistic terms the transitions between sensed situations and action outcomes of the closed-loop system, constructing what can be considered slices through a stochastic SM habitat. Similarly, Schmidt et al (2012) have studied the statistical information transfer between the different sensors and motors of a compliant quadruped robot that is controlled by externally induced (open-loop) leg actuations. Their approach reveals that directional correlations between sensors and motors depend on the environment (type of floor surface) and the body structure (hip actuators driving hip angle sensors in the same leg).…”
Section: Discussionmentioning
confidence: 99%
“…Akin to this paper are methods for analyzing emergent behavior (Lungarella and Sporns, 2006; Ay et al, 2008; Wang et al, 2012; Schmidt et al, 2013) using information theory. A new quantification based on excess entropy (predictive information) and attractor dimension was recently proposed in Martius and Olbrich (2015) and applied to similar self-organizing behavior as found in this paper.…”
Section: Robot Behavior As a Self-excited Physical Modementioning
confidence: 99%
“…Associated with Francisco Varela, Humberto Maturana, and Evan Thompson among others (see e.g. [27,26,54,51]), the spirit of enactivism is perhaps best summarized in a poem of Anotonio Machado, translated by Varela [53, p. 63]):…”
Section: Plusesmentioning
confidence: 99%
“…Then, MFL, MFR, MHL, MHR correspond to the four motor channels; HFL, HFR, HHL, HHR denote potentiometers in the hip joints, and KFL, KFR, KHL, KHR in the passive knee joints; PFL, PFR, PHL, PHR are feet pressure sensors, AX, AY , AZ linear accelerations in three axes, and GX , GY , GZ are angular velocities. (Figure adapted from [51]. )…”
Section: Specifics Of Cognition In a Quadruped Robotmentioning
confidence: 99%