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Torque-Controlled Stepping-Strategy Push Recovery: Design and Implementation on the iCub Humanoid Robot

机译:扭矩控制步进策略推送恢复:设计和   在iCub仿人机器人上实现

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摘要

One of the challenges for the robotics community is to deploy robots whichcan reliably operate in real world scenarios together with humans. A crucialrequirement for legged robots is the capability to properly balance on theirfeet, rejecting external disturbances. iCub is a state-of-the-art humanoidrobot which has only recently started to balance on its feet. While the currentbalancing controller has proved successful in various scenarios, it stillmisses the capability to properly react to strong pushes by taking steps. Thispaper goes in this direction. It proposes and implements a control strategybased on the Capture Point concept [1]. Instead of relying on position control,like most of Capture Point related approaches, the proposed strategy generatesreferences for the momentum-based torque controller already implemented on theiCub, thus extending its capabilities to react to external disturbances, whileretaining the advantages of torque control when interacting with theenvironment. Experiments in the Gazebo simulator and on the iCub humanoid robotvalidate the proposed strategy.
机译:机器人社区面临的挑战之一是部署能够与人类一起在现实世界中可靠运行的机器人。腿式机器人的一项关键要求是能够适当平衡自己的脚部,拒绝外界干扰的能力。 iCub是最先进的类人机器人,直到最近才开始平衡。尽管电流平衡控制器在各种情况下都被证明是成功的,但它仍然缺乏通过采取措施对强力推动做出适当反应的能力。本文朝这个方向发展。它提出并实现了基于捕获点概念的控制策略[1]。与大多数Capture Point相关方法一样,该策略不再依赖位置控制,而是为已经在iCub上实现的基于动量的扭矩控制器生成参考,从而扩展了其对外部干扰做出反应的能力,同时保留了与之交互时扭矩控制的优势。环境。在Gazebo模拟器和iCub人形机器人上进行的实验验证了所提出的策略。

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