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Variable impedance interaction and demonstration interface design based on measurement of arm muscle co-activation for demonstration learning

机译:基于手臂肌肉共激活测量的可变阻抗交互和演示界面设计,用于演示学习

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Learning from Demonstration (LfD) is a good way for robots to learn some complex tasks from human tutors, but the ordinary demonstration mode of LfD is unsuitable for learning interaction tasks that require the robot to run under the variable impedance control mode. In this study, we develop a variable impedance physical human-robot interaction (pHRl) interface and LfD mode for human motion skill transport based on surface electromyography (sEMG) signal and kinesthetic teaching. The pHRI interface and LfD mode developed in this study have the following advantages: 1) they can provide intuitive and pleasing variable impedance interaction effect for kinesthetic teaching on the basis of human arm stiffness estimation using sEMG signal. 2) They can simultaneously provide the expected motion data (expected end-effector trajectory and impedance gain scheduling) of tutors for demonstration learning, and these motion data can be used for learning complex interaction tasks under robot variable impedance control mode. 3) Kinesthetic teaching can provide tutor haptic feedback, which conforms to the human-human teaching mode, thereby reducing professional knowledge requirements and energy consumption of the tutor and improving teaching effect and efficiency. The pHRI interface and LfD mode are experimentally tested by two interaction and demonstration experiments. Results show that the proposed interface and mode have better dynamic interaction characteristic and performance than the constant impedance gain control LfD mode. Moreover, the tutor can be rapidly familiarized with this interface and mode and finish the demonstration with low energy consumption. (C) 2019 Elsevier Ltd. All rights reserved.
机译:从演示学习(LfD)是机器人从人类导师那里学习一些复杂任务的好方法,但是LfD的普通演示模式不适合学习要求机器人在可变阻抗控制模式下运行的交互任务。在这项研究中,我们开发了基于表面肌电图(sEMG)信号和动觉教学的可变阻抗物理人机交互(pHRl)接口和LfD模式,用于人类运动技能的传输。本研究开发的pHRI接口和LfD模式具有以下优点:1)在基于sEMG信号的人体手臂刚度估算的基础上,它们可以为动觉教学提供直观而令人愉悦的可变阻抗相互作用效果。 2)他们可以同时提供教师的预期运动数据(预期的末端执行器轨迹和阻抗增益调度)以进行示范学习,并且这些运动数据可用于在机器人可变阻抗控制模式下学习复杂的交互任务。 3)动觉教学可以提供导师的触觉反馈,符合人与人的教学模式,从而减少了导师的专业知识要求和能源消耗,提高了教学效果和效率。通过两个交互和演示实验对pHRI接口和LfD模式进行了实验测试。结果表明,所提出的接口和模式具有比恒定阻抗增益控制LfD模式更好的动态交互特性和性能。此外,教师可以快速熟悉该界面和模式,并以低能耗完成演示。 (C)2019 Elsevier Ltd.保留所有权利。

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