中小型人形机器人的外力观测器

L. Hawley, Remy Rahem, W. Suleiman
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引用次数: 9

摘要

仿人机器人的外力观测器在文献中得到了广泛的研究。然而,大多数提出的方法通常依赖于来自六轴力/扭矩传感器的信息,而中小型人形机器人通常不具备这些信息。因此,这些方法不能应用于目前广泛用于教育或研究的类人机器人。在本文中,我们提出了一个基于卡尔曼滤波的观测器来估计施加在机器人结构任意方向和任意点上的外力的三个分量。该观测器实现简单,可以使用Nao或Darwin-OP等中小型人形机器人的嵌入式处理器轻松实时运行。此外,观察者不需要对机器人的硬件进行任何更改,因为它只使用插入人形机器人脚下的可用力感电阻(FSR)和机器人的惯性测量单元(IMU)进行测量。所提出的观察者在Nao人形机器人上进行了广泛的验证,包括站立不动和行走,同时对机器人施加外力。在进行的实验中,观察者成功地在合理的误差范围内估计了外力。此外,实验数据以及所提出的观测器的MATLAB和c++ /ROS实现都可以作为开源包获得。https://goo.gl/VkhejY。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External Force Observer for Small- and Medium-Sized Humanoid Robots
External force observer for humanoid robots has been widely studied in the literature. However, most of the proposed approaches generally rely on information from six-axis force/torque sensors, which the small or medium-sized humanoid robots usually do not have. As a result, those approaches cannot be applied to this category of humanoid robots, which are widely used nowadays in education or research. In this paper, we propose a Kalman filter-based observer to estimate the three components of an external force applied in any direction and at an arbitrary point of the robot’s structure. The observer is simple to implement and can easily run in real time using the embedded processor of a small or medium-sized humanoid robot such as Nao or Darwin-OP. Moreover, the observer does not require any changes to the robot’s hardware, as it only uses measurements from the available force-sensing resistors (FSR) inserted under the feet of the humanoid robot and from the robot’s inertial measurement unit (IMU). The proposed observer was extensively validated on a Nao humanoid robot in both cases of standing still or walking while an external force was applied to the robot. In the conducted experiments, the observer successfully estimated the external force within a reasonable margin of error. Moreover, the experimental data and the MATLAB and C++/ROS implementations of the proposed observer are available as an open source package. https://goo.gl/VkhejY.
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