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OverviewThis 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. Full Product DetailsAuthor: Eris Chinellato , Angel P. del PobilPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2016 Volume: 28 Dimensions: Width: 15.50cm , Height: 1.00cm , Length: 23.50cm Weight: 2.818kg ISBN: 9783319379982ISBN 10: 3319379984 Pages: 165 Publication Date: 17 October 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |