The Visual Neuroscience of Robotic Grasping - Eris Chinellato, Angel P. del Pobil

The Visual Neuroscience of Robotic Grasping

Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration
Buch | Softcover
XIII, 165 Seiten
2016 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-37998-2 (ISBN)
89,99 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Cognitive Systems Monographs
Zusatzinfo XIII, 165 p. 56 illus., 30 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Artificial Intelligence • Cognitive Systems • Computational Biology/Bioinformatics • Computational Intelligence • Engineering • Engineering: general • Grasping • Information technology: general issues • Life sciences: general issues • Neurosciences • Robotic Grasping • Robotics • Robotics and Automation • Vision-based Grasping • Visual Neuroscience
ISBN-10 3-319-37998-4 / 3319379984
ISBN-13 978-3-319-37998-2 / 9783319379982
Zustand Neuware
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