Download The Visual Neuroscience of Robotic Grasping: Achieving by Eris Chinellato, Angel P. del Pobil PDF

By Eris Chinellato, Angel P. del Pobil

This ebook offers interdisciplinary study that pursues the mutual enrichment of neuroscience and robotics. construction on experimental paintings, and at the wealth of literature concerning the cortical pathways of visible processing - the dorsal and ventral streams - we outline and enforce, computationally and on a true robotic, a sensible version of the mind components desirous about vision-based greedy actions.
Grasping in robotics is basically an unsolved challenge, and we express how the bio-inspired process is winning in facing a few primary problems with the duty. Our robot process can competently practice greedy activities on various unmodeled gadgets, denoting in particular trustworthy visible and visuomotor skills.
The computational version and the robot experiments assist in validating theories at the mechanisms hired by means of the mind components extra at once desirous about greedy activities. This publication bargains new insights and examine hypotheses relating to such mechanisms, specially for what matters the interplay among the dorsal and ventral streams. in addition, it is helping in constructing a standard study framework for neuroscientists and roboticists relating to learn on mind functions.

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Additional info for The Visual Neuroscience of Robotic Grasping: Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration

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In particular, it has been argued that the cerebellum is where internal forward models, largely used in sensorimotor control, are located (Kawato et al. 2003). The cerebellum has an important common feature with the posterior parietal cortex, as both play a role in sensorimotor prediction, more during action execution for the cerebellum, more planning-related for the parietal cortex (Blakemore and Sirigu 2003). Moreover, a considerable component of cerebellar output is devoted to influencing the functional operations of posterior parietal cortex, and neurons of the cerebellum that project to AIP overlap the output channel to the PMv, indicating the existence of a three-way circuit AIP-PMv-Cerebellum (Clower et al.

First of all, AIP and nearby areas respond to action recognition when grasping is involved (Fogassi et al. 2005; Shmuelof and Zohary 2005), indicating a more perceptual role than traditionally thought (Culham and Valyear 2006). Also, a region close to the intraparietal sulcus has been found active during object recognition from non-canonical viewpoints (Sugio et al. 1999). The authors suggest that recognition in those cases may be supported by information regarding functional properties of the object, extracted in the CIP-AIP circuit.

Vision Res 41(10– 11):1359–1378 Vanduffel W, Fize D, Peuskens H, Denys K, Sunaert S, Todd JT, Orban GA (2002) Extracting 3D from motion: differences in human and monkey intraparietal cortex. Science 298(5592):413–415. 1073574 Vanni S, Dojat M, Warnking J, Delon-Martin C, Segebarth C, Bullier J (2004) Timing of interactions across the visual field in the human cortex. Neuroimage 21(3):818–828. 1016/j.

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