类人机器人抬起和搬运未知质量特性和头部摩擦的物体

Riku Shigematsu, Shintaro Komatsu, Youhei Kakiuchi, K. Okada, M. Inaba
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引用次数: 6

摘要

人形机器人在搬运物体时,需要识别周围环境,在保持物体稳定的同时避开障碍物。以前的方法通常将对象放在其主体的前面。然而,当物体仅由手支撑时,它会导致视觉阻塞和握持不稳定。为了解决这些问题,我们提出了一种使人形机器人在头部抬起和携带物体的方法。将物体顶在头上,机器人就能在物体离开视线时轻松识别周围环境。此外,由于物体由双手和头支撑,总共有三点,因此马车变得更加稳定。我们还在人形机器人JAXON上实现了我们的方法,并展示了这些方法可以应用于真实的机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lifting and Carrying an Object of Unknown Mass Properties and Friction on the Head by a Humanoid Robot
When a humanoid robot carries an object, it should recognize surroundings to avoid obstacles while holding the object stably. Previous methods usually hold an object in front of its body. However, it causes visual occlusions and instability of holding when the object is supported by only its hands. To solve these problems, we propose methods for making a humanoid robot lift and carry an object on the head. By holding an object on the head, a robot can recognize its surroundings easily as the object goes out of its sight. In addition, as the object is supported by both hands and the head, three points in total, carriage becomes more stabilized. We also implement our methods on the humanoid robot JAXON and show the methods can be applied to the real robot.
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