Experiments of vision guided walking of humanoid robot, KHR-2

Jung-Yup Kim, Ill-Woo Park, Jungho Lee, Jun-Ho Oh
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引用次数: 28

Abstract

This paper introduces an integration of vision system and a visual guided walking of humanoid robot as a its application. Two CCD cameras are installed in a head which has 6 DOFs in total. Eyes and neck have the pan and tilt mechanism to move the view direction freely. All joints are driven by DC servo motors. We developed the motor controller to move all joint axes of the head. Each CCD camera transmits the NTSC formatted images to a frame grabber witch is installed on a main computer continuously. And then, the frame grabber captures the image frames in the frequency of 10 ~ 15 Hz. For a basic study, we construct the visual processing algorithm so that the robot can always gaze a red light marker. Besides, we establish the strategy of combining non real-time visual information and real-time walking pattern. Finally, vision guided walking algorithm which enables the robot to follow the red light marker on foot, is tested experimentally by using a humanoid robot, KHR-2
仿人机器人KHR-2视觉引导行走实验
介绍了一种将视觉系统与仿人机器人视觉引导行走相结合的方法及其应用。两个CCD摄像机安装在一个头部,总共有6个自由度。眼睛和颈部具有平移和倾斜机构,可自由移动视线方向。所有接头均由直流伺服电机驱动。我们开发了电机控制器来移动头部的所有关节轴。每个CCD摄像机将NTSC格式的图像连续传输到安装在主计算机上的帧采集器。然后,帧捕获器捕获频率为10 ~ 15hz的图像帧。作为基础研究,我们构建了视觉处理算法,使机器人能够始终注视红灯标记。建立了非实时视觉信息与实时行走模式相结合的策略。最后,利用仿人机器人KHR-2对视觉引导步行算法进行了实验验证,使机器人能够步行跟随红灯标记
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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