Robotics & Machine Learning Daily News2024,Issue(Jun.5) :3-3.

Aix-Marseille University Reports Findings in Robotics (Shaping the energy curves of a servomotor-based hexapod robot)

艾克斯马赛大学报告了机器人学的发现(基于伺服电机的六足机器人能量曲线的形成)

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :3-3.

Aix-Marseille University Reports Findings in Robotics (Shaping the energy curves of a servomotor-based hexapod robot)

艾克斯马赛大学报告了机器人学的发现(基于伺服电机的六足机器人能量曲线的形成)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据来自法国马赛的新闻报道,研究表明:“六足机器人的优势多功能性往往伴随着高能耗,而动物已经进化出一种能量高效的运动方式。然而,还缺乏能够比较和应用动物能量优化的方法。”我们的新闻记者引用了美国艾克斯马赛大学的研究,“在本研究中,我们将我们的方法应用于一个基于全伺服马达的六足机器人,以评估其能量性能。”本文利用一个专用的测试平台和一个模拟的机器人腿对四个指标进行了估计,分析了单个LE G的特性,以塑造整个机器人在给定任务下的能量轮廓,通过连续的占空比调整,能量节省了10%,功率最大化提高了192%。根据步长调整机器人的速度,并将其与步态切换联系起来,Red在低速运动时进一步减少了10%的功率损失。然而,与动物不同的是,只发现了一个独特的最佳工作点,这是伺服马达六足能量效率低造成的一个缺点。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Marseille, France, by NewsRx c orrespondents, research stated, “The advantageous versatility of hexapod robots is often accompanied by high power consumption, while animals have evolved an en ergy efficient locomotion. However, there are a lack of methods able to compare and apply animals’ energetic optimizations to robots.” Our news journalists obtained a quote from the research from Aix-Marseille Unive rsity, “In this study, we applied our method to a full servomotor-based hexapod robot to evaluate its energetic performance. Using an existing framework based o n the laws of thermodynamics, we estimated four metrics using a dedicated test b ench and a simulated robotic leg. We analyzed the characteristics of a single le g to shape the energetic profile of the full robot to a given task. Energy savin g is improved by 10% through continuous duty factor adjustment wit h a 192% increase in power maximization. Moreover, adjusting the r obot’s velocity by the step length and associating this with gait switching, red uces the power loss by a further 10% at low-speed locomotion. Howe ver, unlike in animals, only one unique optimal operating point has been reveale d, which is a disadvantage caused by the low energetic efficiency of servomotorbased hexapods.”

Key words

Marseille/France/Europe/Emerging Tech nologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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