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The Visual Neuroscience of Robotic Grasping - Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration... The Visual Neuroscience of Robotic Grasping - Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration (Hardcover, 2016 ed.)
Eris Chinellato, Angel P. Del Pobil
R3,273 Discovery Miles 32 730 Ships in 10 - 15 working days

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.

The Visual Neuroscience of Robotic Grasping - Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration... The Visual Neuroscience of Robotic Grasping - Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration (Paperback, Softcover reprint of the original 1st ed. 2016)
Eris Chinellato, Angel P. Del Pobil
R3,081 Discovery Miles 30 810 Ships in 18 - 22 working days

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.

From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellon, Spain, July... From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Castellon, Spain, July 22-25, 2014, Proceedings (Paperback, 2014 ed.)
Angel P. Del Pobil, Eris Chinellato, Ester Martinez-Martin, John Hallam, Enric Cervera, …
R2,291 Discovery Miles 22 910 Ships in 18 - 22 working days

This book constitutes the proceedings of the 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, held in Castellon, Spain, in July 2014. The 32 papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. They cover the main areas in animat research, including the animat approach and methodology, perception and motor control, navigation and internal world models, learning and adaptation, evolution and collective and social behavior.

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