实现近距离交互行为的柔性传感肉机器人的研制

T. Yoshikai, Marika Hayashi, Yui Ishizaka, Hiroko Fukushima, Asuka Kadowaki, Takashi Sagisaka, Kazuya Kobayashi, Iori Kumagai, M. Inaba
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引用次数: 20

摘要

为了实现机器人在人类周围工作,应该允许机器人与物体、人类和大面积的环境进行安全接触。此外,积极地利用这些联系来完成任务是可取的。考虑到这一点,许多实际应用将通过与他人的多次接触的全身密切互动来实现。因此,人们强烈期望机器人能够实现与周围物体的全身交互行为。近年来,随着触觉传感系统研究的不断深入,构建全身触觉传感器网络成为可能。利用这种触觉传感器,一些研究小组已经开发出具有全身触觉感知外部的机器人。然而,他们的基本策略是用柔软的薄材料覆盖一个分布式的1轴触觉传感器网络。这些不足以实现密切的相互作用和检测复杂的接触变化。因此,我们提出“软传感器肉”。“软传感器肉”的基本思想是用柔软厚实的泡沫构建机器人的外部,其中包含许多传感器元件,包括多轴触觉传感器。本文讨论了具有这种软传感肉的机器人系统的构造方法。此外,我们还开发了一些软传感器肉的原型,并通过实际行为实验验证了所提出思想的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Robots with Soft Sensor Flesh for Achieving Close Interaction Behavior
In order to achieve robots' working around humans, safe contacts against objects, humans, and environments with broad area of their body should be allowed. Furthermore, it is desirable to actively use those contacts for achieving tasks. Considering that, many practical applications will be realized by whole-body close interaction of many contacts with others. Therefore, robots are strongly expected to achieve whole-body interaction behavior with objects around them. Recently, it becomes possible to construct wholebody tactile sensor network by the advancement of research for tactile sensing system. Using such tactile sensors, some research groups have developed robots with whole-body tactile sensing exterior. However, their basic strategy is making a distributed 1- axis tactile sensor network covered with soft thin material. Those are not sufficient for achieving close interaction and detecting complicated contact changes. Therefore, we propose "Soft Sensor Flesh." Basic idea of "Soft Sensor Flesh" is constructing robots' exterior with soft and thick foam with many sensor elements including multiaxis tactile sensors. In this paper, a constructing method for the robot systems with such soft sensor flesh is argued. Also, we develop some prototypes of soft sensor flesh and verify the feasibility of the proposed idea by actual behavior experiments.
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