Record Nr.

UNINA9910254198603321

Autore

Chinellato Eris

Titolo

The Visual Neuroscience of Robotic Grasping : Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration / / by Eris Chinellato, Angel P. del Pobil

Pubbl/distr/stampa


Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-20303-7

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (174 p.)

Collana

Cognitive Systems Monographs, , 1867-4925 ; ; 28

Disciplina

629.892

Soggetti

Robotics

Automation

Computational intelligence

Bioinformatics

Neurosciences

Robotics and Automation

Computational Intelligence

Computational Biology/Bioinformatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.