Robotics & Machine Learning Daily News2024,Issue(Jun.6) :81-82.

Data from Waseda University Broaden Understanding of Androids (Plantar Haptic Di splay to Estimate the Position of the Projected Center of Gravity of a Humanoid)

早稻田大学的数据扩大了对机器人的理解(足底触觉Di splay来估计人形物体投射重心的位置)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :81-82.

Data from Waseda University Broaden Understanding of Androids (Plantar Haptic Di splay to Estimate the Position of the Projected Center of Gravity of a Humanoid)

早稻田大学的数据扩大了对机器人的理解(足底触觉Di splay来估计人形物体投射重心的位置)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于机器人的研究发现被用在一份新的报告中。根据NewsR X编辑在日本东京的新闻报道,研究表明,“人类可以用ST感能力进行稳定的运动,包括用足底感知系统识别他们的重心。”这项研究的资助者包括日本科学促进协会。新闻记者从早稻田大学的研究中得到一句话:“相比之下,仿人机器人的稳定性不如人类。如果把仿人机器人的稳定性呈现给实时操作机器人的人,操作者就可以更稳定地控制机器人。然而,缺乏人类用足底触觉显示识别投影重心的研究。本文研究了仅从脚力信息估计小型仿人机器人重心投影点的可能性,提出了一种足底触觉显示器,以再现人体跑步时单个脚底四点的反作用力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on androids are disc ussed in a new report. According to news reporting out of Tokyo, Japan, by NewsR x editors, research stated, “Humans can perform stable motion with a sense of st ability that involves identifying their center of gravity point with plantar sen sory system.” Funders for this research include Japan Society For The Promotion of Science. The news journalists obtained a quote from the research from Waseda University: “By contrast, the stability of a humanoid robot is inferior to that of a human. If the sense of stability of a humanoid robot is presented to a human who operat es the robot in real time, the operator can control the robot more stably. Howev er, studies wherein humans recognize the projected center of gravity point with a plantar haptic display are lacking. In this study, we investigated the possibi lity of estimating the projected center of gravity point of a small humanoid rob ot from only the foot force information. We propose a plantar haptic display to reproduce the foot reaction force on four points of a single sole as large as th e force during human running.”

Key words

Waseda University/Tokyo/Japan/Asia/E merging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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