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Accurate and robust localization for walking robots fusing kinematics inertial vision and LIDAR

机译:融合运动学惯性视觉和LIDAR的行走机器人的准确而强大的定位

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摘要

In this article, we review methods for localization and situational awareness of biped and quadruped robotics. This type of robot is modelled as a free-floating mechanical system subject to external forces and constrained by whole-body distributed rigid contacts. Measurements of the state of the robot can be made using a variety of sensor information—such as kinematics (the sensing of the joint angles of the robot), contact force (pressure sensors in the robot's feet), accelerometers and gyroscopes as well as external sensors such as vision and LIDAR. This high-frequency state estimate is then passed to the control system of the robot to allow it to traverse terrain or manipulate its environment. In this article, we describe the development of an estimator for the Boston Dynamics Atlas humanoid robot. It was later adapted to the HyQ2 quadruped, developed by the Istituto Italiano di Tecnologia. Some discussion is given as to future trends while also considering briefly the relationship with biological systems.
机译:在本文中,我们回顾了两足动物和四足机器人的定位和态势感知方法。这种类型的机器人被模型化为自由浮动的机械系统,受到外力作用,并受到全身分布的刚性接触的约束。可以使用各种传感器信息来测量机器人的状态,例如运动学(感测机器人的关节角度),接触力(机器人脚上的压力传感器),加速度计和陀螺仪以及外部视觉和LIDAR等传感器。然后,将这种高频状态估计值传递到机器人的控制系统,以使其能够穿越地形或操纵其环境。在本文中,我们描述了Boston Dynamics Atlas人形机器人的估算器的开发。后来,它适应了由意大利技术研究所(Istituto Italiano di Tecnologia)开发的HyQ2四倍。对未来趋势进行了一些讨论,同时还简要考虑了与生物系统的关系。

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