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基于视觉的抓握的神经科学:计算建模与仿生机器人学的功能综述

The neuroscience of vision-based grasping: a functional review for computational modeling and bio-inspired robotics.

作者信息

Chinellato Eris, Del Pobil Angel P

机构信息

Robotic Intelligence Lab, Jaume I University, Campus Riu Sec, 12071, Castellón de la Plana, Spain.

出版信息

J Integr Neurosci. 2009 Jun;8(2):223-54. doi: 10.1142/s0219635209002137.

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.

摘要

基于视觉的抓取这一主题正在人类和其他灵长类动物中得到广泛研究,采用了各种技术且具有不同目标。本文对相关的基础研究成果进行了综述,旨在为包括智能机器人技术和神经计算在内的不同领域的研究人员提供关于该主题全面且易懂的观点。从功能角度出发,对主要的感觉运动过程以及涉及的脑区进行了详细描述,以使本综述对计算建模和受生物启发的机器人应用特别有用。

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