基于机器人操作系统的液压机器人自主导航系统设计与实现

在机器人两轮差速运动模型分析的基础上,根据运动模型的航迹演算公式可实时计算机器人轨迹姿态。基于机器人操作系统架构平台设计了机器人本体、机器人底座、驱动液压马达、导向轮、激光雷达等7个关节和连接的结构模型。各机器人关节坐标系变换关系经过Tf实时发布,用于计算机器人位置坐标信息。针对液压机器人没有配备编码器和视觉系统的不足,系统采用2D平面激光里程计模型(RF2O),通过建立连续激光扫描点对距离的流约束方程获得机器人平面运动估计,进而得出激光雷达的速度和机器人实际运行轨迹。设计了自主导航软件系统,实现了导航地图构建、定点任务导航和多机器人管理等功能,并对机器人定位导航精度进行了测试,分析对比多次指定位置和导航位置的数据差异,结果表明机器人导航定位精度达到设计要求。

Design and implementation of autonomous navigation system comprising a hydraulic driven robot based on robot operating system

In this study, a robot track equation is formulated to estimate the state and position of the robot based on a two-wheel differential drive model. Using the robot operating system(ROS) stack package, we design a robot structural model with seven joints and links, including a hydraulic robot body, a robot base, hydraulic motors, guide wheels, and lidar. The transformation of coordinate frames is shown over the Tf of ROS to obtain the coordinates of the robot's position. Because our robot does not possess an encoder and vision system, we use a two-dimensional (2D) planar lidar odometric model (RF2O). The planar motion estimation of the robot is performed by imposing the range flow constraint equation on consecutive lidar scan pairs. Then, the velocity of the lidar sensor and the real-time trajectory of the robot can be estimated. We also implement an autonomous navigation software system with functions such as navigation map building, navigation targeting, and multirobot management. We evaluate the accuracy of the system several times. Based on a comparative analysis of the difference in the data of assigned and navigated locations, the accuracy of robot navigation and position is found to satisfy the design requirements.