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Spatial path generation by the complementary use of nominal path data and sensory path data and its application to a seam tracking robot --System concept and path generation algorithm

机译:名义路径数据和感官路径数据的互补使用生成空间路径及其在接缝跟踪机器人中的应用-系统概念和路径生成算法

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摘要

A spatial path generation algorithm and its application to the high-reliability seam trackingrobotic system which can operate even under poor sensing conditions are proposed. First, theconcept of the robotic system with a wristmounted high performance vision sensor is presented, thenan accurate spatial path generation algorithm based on the complementary use of nominal path dataand sensory data of an actual path with a reliability coefficient is described. In the algorithm, themodification matrix that maps a nominal path to an actual path is generated by comparing nominalpath data with actual path data acquired by a sensor located ahead of an end-effector at certain points.Then an actual path is restored by modifying nominal path data with the modification matrix.Computer simulations and experiments on a spatial path show that the proposed system operateseffectively even under disturbances such as burst sensory data missing caused by joint configurationabnormalities like tack welding beads often appearing in practical applications.
机译:提出了一种空间路径生成算法及其在即使在较差的传感条件下也能运行的高可靠性煤层跟踪机器人系统中的应用。首先,提出了具有腕戴式高性能视觉传感器的机器人系统的概念,描述了一种基于名义路径数据和具有可靠系数的实际路径的传感数据的互补使用的精确空间路径生成算法。在该算法中,通过将标称路径数据与位于特定位置的末端执行器前面的传感器获取的实际路径数据进行比较,生成将标称路径映射到实际路径的修改矩阵,然后通过修改标称路径来恢复实际路径计算机模拟和在空间路径上的实验表明,即使在实际应用中经常出现的干扰(例如由于联合配置异常导致的爆破感测数据丢失)等干扰条件下,该系统也能有效运行。

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