未知物体抓取的直接感知与行动系统

H. Masuta, Hun-ok Lim, T. Motoyoshi, K. Koyanagi, T. Oshima
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引用次数: 6

摘要

本文讨论了利用深度传感器进行抓取的直接感知和感知动作。前一种方法需要识别出准确的物理参数,才能掌握未知物体。因此,我们提出了一种基于感觉的感知,它只感知机器人行为的相关信息。为了感知未知物体,我们提出了基于平面检测的SPD-SE方法。SPD-SE可以应用于机器人的实时感知,并且具有可以同时提取未知物体的点群和属性的优点。用惯性张量和模糊推理来解释抓握的感觉。抓取的感觉为机器人提供了直接行动的可能性,而无需从物理信息(如大小、姿势和形状)推断。实验结果表明,该机器人可以直接检测抓取行为的相关信息。抓握感觉通过一个参数同时呈现自身状态和环境状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direct perception and action system for unknown object grasping
This paper discusses the direct perception for grasping and the action for perception using depth sensor. The previous method should recognize the accurate physical parameters to grasp an unknown object. Hence, we propose a sensation based perception which perceives exclusively the relevant information to the behavior of the robot. To perceive an unknown object, we have proposed the plane detection based approach of the SPD-SE. The SPD-SE may have applicability to robot perception at real time, and has advantages that the point group and properties of an unknown object can be extracted at the same time. The sensation of grasping is explained by inertia tensor and fuzzy inference. The sensation of grasping affords the possibility of action to a robot directly without inference from physical information such as size, posture and shape. As experimental results, we show that the robot can detect a relevant information of a grasping behavior directly. And, the sensation of grasping presents own state and environmental state together by one parameter.
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