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The visual neuroscience of robotic g...

Chinellato, Eris.

The visual neuroscience of robotic graspingachieving sensorimotor skills througyh dorsal-ventral stream integration /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The visual neuroscience of robotic graspingby Eris Chinellato, Angel P. del Pobil.
Reminder of title:	achieving sensorimotor skills througyh dorsal-ventral stream integration /
Author:	Chinellato, Eris.
other author:	Pobil, Angel P. del.
Published:	Cham :Springer International Publishing :2016.
Description:	xiii, 165 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	RobotsMotion.
Online resource:	http://dx.doi.org/10.1007/978-3-319-20303-4
ISBN:	9783319203034$q(electronic bk.)

The visual neuroscience of robotic graspingachieving sensorimotor skills througyh dorsal-ventral stream integration /
Chinellato, Eris.

The visual neuroscience of robotic graspingachieving sensorimotor skills througyh dorsal-ventral stream integration /[electronic resource] :by Eris Chinellato, Angel P. del Pobil. - Cham :Springer International Publishing :2016. - xiii, 165 p. :ill. (some col.), digital ;24 cm. - Cognitive systems monographs,v.281867-4925 ;. - Cognitive systems monographs ;v.16..

Introduction -- The Neuroscience of Action and Perception -- Intelligent Robotic Grasping? -- Vision-Based Grasping, where Robotics Meets Neuroscience -- Extraction of Grasp-Related Visual Features -- Visuomotor Transformations for Grasp Planning and Execution -- An Ever-Developing Research Framework.

This book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions. Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills. The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.

ISBN: 9783319203034$q(electronic bk.)

Standard No.: 10.1007/978-3-319-20303-4doiSubjects--Topical Terms:

235742
Robots
--Motion.

LC Class. No.: TJ211.4

Dewey Class. No.: 629.892

The visual neuroscience of robotic graspingachieving sensorimotor skills througyh dorsal-ventral stream integration /
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520 $a This book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions. Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills. The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.
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