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Robot perception of unexpected objects based on human visual structure using a 3D range camera

机译:机器人使用3D测距相机根据人类视觉结构感知意外物体

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This paper discusses robot perception of an unexpected object for human friendly robots. A robot should be able to perceive an environment flexibly to realize an intelligent behavior. We focus on a perceptual system for human visual perception based on perceiving-acting cycle concept discussed in ecological psychology. We have proposed a perceptual system composed of the retinal model and the spiking-neural network to realize the concept of the perceiving-acting cycle. The proposed method is applied to a robot arm equipped with a 3D range camera. In this paper, we propose an integrated perceptual system for accuracy improvement of perception. Moreover, we propose a perceptual element to install to the integrated perceptual system that detects an unexpected posture or object by using 3D range camera. As experimental results, we show that the proposed method perceives the target dish accurately by an integration of different perceptual elements, and the robot recognizes an unexpected situation such as a fallen cup and a ball of paper.
机译:本文讨论了人类友好型机器人对意外物体的机器人感知。机器人应该能够灵活地感知环境以实现智能行为。我们关注于基于人类在生态心理学中讨论的感知-作用-循环概念的人类视觉感知的感知系统。我们提出了一种由视网膜模型和尖峰神经网络组成的感知系统,以实现感知-作用周期的概念。所提出的方法被应用于配备有3D测距相机的机械臂。在本文中,我们提出了一种集成的感知系统来提高感知的准确性。此外,我们提出了一种感知元素,可安装到集成感知系统中,该感知系统通过使用3D范围摄像机来检测意外的姿势或物体。作为实验结果,我们表明,所提出的方法通过整合不同的感知元素来准确地感知目标菜肴,并且机器人能够识别出意外情况,例如掉落的杯子和纸球。

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