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Active Vision During Coordinated Head/Eye Movements in a Humanoid Robot

机译:人形机器人头部/眼睛协调运动时的主动视觉

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While looking at a point in the scene, humans continually perform smooth eye movements to compensate for involuntary head rotations. Since the optical nodal points of the eyes do not lie on the head rotation axes, this behavior yields useful 3-D information in the form of visual parallax. Here, we describe the replication of this behavior in a humanoid robot. We have developed a method for egocentric distance estimation based on the parallax that emerges during compensatory head/eye movements. This method was tested in a robotic platform equipped with an anthropomorphic neck and two binocular pan-tilt units specifically designed to reproduce the visual input signals experienced by humans. We show that this approach yields accurate and robust estimation of egocentric distance within the space nearby the agent. These results provide a further demonstration of how behavior facilitates the solution of complex perceptual problems.
机译:在注视场景中的某个点时,人类会连续执行平稳的眼球运动以补偿不自主的头部旋转。由于眼睛的光学节点不在头部旋转轴上,因此此行为会产生视差形式的有用3-D信息。在这里,我们描述了在类人机器人中这种行为的复制。我们已经开发了一种基于补偿性头部/眼睛运动过程中出现的视差的自我中心距离估计方法。该方法在配备了拟人化颈部和两个双眼平移-倾斜单元的机器人平台上进行了测试,该平台专门设计用于再现人类所经历的视觉输入信号。我们表明,此方法可对代理附近的空间内的以自我为中心的距离进行准确而可靠的估计。这些结果进一步证明了行为如何促进解决复杂的感知问题。

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