title: The neuroscience of vision-based grasping: a functional review for computational modeling and bio-inspired robotics.
abstract: The topic of vision-based grasping is being widely studied in humans and in other primates using various techniques and with different goals. The fundamental related findings are reviewed in this paper, with the aim of providing researchers from different fields, including intelligent robotics and neural computation, a comprehensive but accessible view on the subject. A detailed description of the principal sensorimotor processes and the brain areas involved is provided following a functional perspective, in order to make this survey especially useful for computational modeling and bio-inspired robotic applications.
authors.affiliation: Robotic Intelligence Lab, Jaume I University, Campus Riu Sec, 12071, Castellón de la Plana, Spain. eris@uji.es
authors.forename: Eris
authors.initials: E
authors.lastname: Chinellato
authors.forename: Angel P
authors.initials: AP
authors.lastname: Del Pobil
mesh_terms: D000818:Animals; D001132:Arm / Q000033:anatomy & histology / Q000502:physiology*; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D003198:Computer Simulation; D018737:Hand Strength / Q000502:physiology*; D006801:Humans; D009039:Motion Perception / Q000502:physiology; D009949:Orientation / Q000502:physiology; D010296:Parietal Lobe / Q000033:anatomy & histology / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology*; D012371:Robotics; D013028:Space Perception / Q000502:physiology; D014795:Visual Pathways / Q000033:anatomy & histology / Q000502:physiology*