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Active camera stabilization to enhance the vision of agile legged robots

机译:主动相机稳定功能可增强腿式敏捷机器人的视觉

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Legged robots have the potential to navigate in more challenging terrains than wheeled robots. Unfortunately, their control is more demanding, because they have to deal with the common tasks of mapping and path planning as well as more specific issues of legged locomotion, like balancing and foothold planning. In this paper, we present the integration and the development of a stabilized vision system on the fully torque-controlled hydraulically actuated quadruped robot (HyQ). The active head added onto the robot is composed of a fast pan and tilt unit (PTU) and a high-resolution wide angle stereo camera. The PTU enables camera gaze shifting to a specific area in the environment ( both to extend and refine the map) or to track an object while navigating. Moreover, as the quadruped locomotion induces strong regular vibrations, impacts or slippages on rough terrain, we took advantage of the PTU to mechanically compensate for the robot's motions. In this paper, we demonstrate the influence of legged locomotion on the quality of the visual data stream by providing a detailed study of HyQ's motions, which are compared against a rough terrain wheeled robot of the same size. Our proposed Inertial Measurement Unit (IMU)-based controller allows us to decouple the camera from the robot motions. We show through experiments that, by stabilizing the image feedback, we can improve the onboard vision-based processes of tracking and mapping. In particular, during the outdoor tests on the quadruped robot, the use of our camera stabilization system improved the accuracy on the 3D maps by 25%, with a decrease of 50% of mapping failures.
机译:与轮式机器人相比,腿式机器人具有在更具挑战性的地形中导航的潜力。不幸的是,他们的控制更加苛刻,因为他们必须处理制图和路径规划的常见任务,以及腿部运动的更具体问题,例如平衡和立足点规划。在本文中,我们介绍了在完全扭矩控制的液压驱动四足机器人(HyQ)上稳定视觉系统的集成和开发。添加到机器人上的主动头由一个快速平移和倾斜单元(PTU)和一个高分辨率广角立体摄像机组成。 PTU使摄像机的视线转移到环境中的特定区域(既可以扩展和完善地图),又可以在导航时跟踪对象。此外,由于四足运动会在崎terrain的地形上引起强烈的规则振动,冲击或打滑,因此我们利用PTU来机械补偿机器人的运动。在本文中,我们通过详细研究HyQ的运动来证明有腿运动对视觉数据流质量的影响,并与相同尺寸的崎a地形轮式机器人进行了比较。我们提出的基于惯性测量单元(IMU)的控制器使我们能够将摄像机与机器人的运动解耦。我们通过实验表明,通过稳定图像反馈,我们可以改善机载基于视觉的跟踪和制图过程。尤其是在四足机器人的户外测试期间,使用我们的相机稳定系统可以将3D地图的准确性提高25%,减少了50%的地图绘制失败。

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