Lessons from human vision for robotic design

Melvyn A. Goodale
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Abstract

The visual guidance of goal-directed movements requires transformations of incoming visual information that are different from those required for visual perception. For us to grasp an object successfully, our brain must use just-in-time computations of the object’s real-world size and shape, and its orientation and disposition with respect to our hand. These requirements have led to the emergence of dedicated visuomotor modules in the posterior parietal cortex of the human brain (the dorsal visual stream) that are functionally distinct from networks in the occipito-temporal cortex (the ventral visual stream) that mediate our conscious perception of the world. Although the identification and selection of goal objects and an appropriate course of action depends on the perceptual machinery of the ventral stream and associated cognitive modules, the execution of the subsequent goal-directed action is mediated by dedicated online control systems in the dorsal stream and associated motor areas. The dorsal stream allows an observer to reach out and grasp objects with exquisite ease, but by itself, deals only with objects that are visible at the moment the action is being programmed. The ventral stream, however, allows an observer to escape the present and bring to bear information from the past – including information about the function of objects, their intrinsic properties, and their location with reference to other objects in the world. Ultimately then, both streams contribute to the production of goal-directed actions. The principles underlying this division of labour between the dorsal and ventral streams are relevant to the design and implementation of autonomous robotic systems.

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人类视觉对机器人设计的启示
目标定向运动的视觉引导需要对输入的视觉信息进行转换,这与视觉感知所需的转换不同。为了成功抓住一个物体,我们的大脑必须对物体在现实世界中的大小和形状,以及它相对于我们的手的方向和位置进行及时计算。这些要求导致人脑后顶叶皮层(背侧视觉流)出现了专门的视觉运动模块,它们在功能上有别于枕颞皮层(腹侧视觉流)的网络,后者是我们有意识感知世界的中介。虽然目标对象的识别和选择以及适当的行动方案取决于腹侧视流的感知机制和相关认知模块,但随后目标行动的执行则由背侧视流和相关运动区域的专用在线控制系统进行调解。背侧流使观察者能够轻而易举地伸手抓住物体,但背侧流本身只能处理编程动作时可见的物体。而腹侧信息流则能让观察者摆脱当前的束缚,将过去的信息--包括物体的功能、其内在属性以及与世界上其他物体相对应的位置等信息--带入大脑。最终,这两种信息流都有助于产生以目标为导向的行动。背侧流和腹侧流分工的基本原理与自主机器人系统的设计和实施息息相关。
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