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A Semi-autonomous Teleoperation Method for Mending Robots Based on Virtual Reality and WLAN

机译:基于虚拟现实和无线局域网的半自动修复机器人远程操作方法

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Current autonomous control techniques are rarely robust enough to allow successful mobile robot operation. This paper proposes a semi-autonomous teleoperation method for the mending robot that teleoperation is shared by intelligent decision system and operators. The intelligent decision system in the virtual environment is responsible for planning and controlling motion of the robot. The mending robot consists of the mobile vehicle and the manipulator. The A star algorithm is adopted to plan path of the mobile vehicle. Trajectory and pose of the five degree-of-freedom manipulator are reckoned by Matlab, and controlled by PMAC (program multiple axis controller). Because modelling error of the virtual environment and slide phenomena of wheels exist inevitably, operators must use remote video guidance to eliminate these errors. The virtual environment is established by VC++, OpenGL, 3DS MAX. Telecommands and videos are transmitted via WLAN (Wireless LAN) with high gain antenna which brings broad bandwidth and far communication distance. Experiments prove that the intelligent decision platform is reliable and efficient. With intervention of operators away from five kilometres, the mending robot can reach the leakage successfully and accomplish the maintenance task smoothly.
机译:当前的自主控制技术很少具有足以使移动机器人成功运行的鲁棒性。提出了一种由智能决策系统和操作员共享远程修复的修补机器人的半自主远程操作方法。虚拟环境中的智能决策系统负责规划和控制机器人的运动。修补机器人由移动车辆和机械手组成。采用A star算法来规划移动车辆的路径。五个自由度机械手的轨迹和姿态由Matlab估算,并由PMAC(程序多轴控制器)控制。由于不可避免地存在虚拟环境的建模错误和车轮滑动现象,因此操作员必须使用远程视频指导来消除这些错误。虚拟环境由VC ++,OpenGL,3DS MAX建立。远程命令和视频通过具有高增益天线的WLAN(无线局域网)传输,带来了宽带宽和远距离的通信距离。实验证明,智能决策平台是可靠高效的。在距离五公里以外的操作人员的干预下,修补机器人可以成功地到达泄漏点,并顺利完成维护任务。

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