Active stabilization of a humanoid robot base on inertial measurement unit data

Mikolaj Wasielica, Marek Wasik
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引用次数: 2

Abstract

In this paper we describe the active stabilization of a humanoid robot. It is based on the data obtained from an Inertial Measurement Unit (IMU), which is placed in the robot's torso. IMU includes accelerometer and gyroscope. Relying on these data, we propose the algorithm that maintains stability of the robot, while the support platform tilts. Our experimental object was a small humanoid robot M-Bot, which was built by authors and is shortly described in this paper. To determine the orientation of the robot we developed a digital filter. To maintain the static stability we decided to implement a controller based on the position of the Center of Mass (COM) projection on the ground plane. To adjust COM position we use ankle and hip strategy. These strategies provide stabilization only in one plane. To improve side stability we propose the leg adjustments. This algorithm detects the possibility of exceeding outer boundary of the foot by COM and adjusts configuration of the leg to prevent against falling to one side. The developed algorithms were fully tested on a real construction of M-bot robot. Experimental results demonstrated that our implementation successfully stabilizes a humanoid robot.
基于惯性测量单元数据的仿人机器人主动稳定
本文研究了一类人形机器人的主动镇定问题。它基于从惯性测量单元(IMU)获得的数据,该单元放置在机器人的躯干上。IMU包括加速度计和陀螺仪。基于这些数据,我们提出了在支撑平台倾斜的情况下保持机器人稳定性的算法。我们的实验对象是一个小型人形机器人M-Bot,它是由作者建造的,并在本文中简要描述。为了确定机器人的方向,我们开发了一个数字滤波器。为了保持静态稳定性,我们决定实现一个基于质心(COM)投影在地平面上的位置的控制器。我们采用踝关节和髋关节策略来调整COM位置。这些策略只在一个平面上提供稳定。为了提高侧面稳定性,我们建议调整腿部。该算法检测COM超出足部外边界的可能性,并调整腿的配置以防止侧身。所开发的算法在M-bot机器人的实际结构上进行了充分的测试。实验结果表明,我们的实现成功地稳定了一个人形机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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