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Novel method for six-legged robots turning valves based on force sensing

机译:基于力传感的六针机器人车削阀的新方法

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摘要

According to previous studies, usually multi-degree-of-freedom (DOF) manipulators are installed on robots to perform the valve turning task, and vision systems are used to detect the valve data. However, vision systems are limited in the environment with less visibility and the internal force always occurs as the multi-DOF manipulator is compelled to follow the valve exactly by a firm grasp. In this paper, a novel valve turning method based on force sensing is proposed and implemented to the six-legged robot. Firstly, the method can enable the robot to judge the valve position through force sensing in the case of poor vision situation. Moreover, a 0-DOF tool is installed on the body of the robot. By integrating with the body, the tool has enough workspace to perform the operation task. Compared with the multi-DOF manipulator, loose grasp achieved by the 0-DOF tool helps to reduce the internal force during the valve turning process. In addition, the real-time trajectory planning strategy is designed for the robot. Based on the above initiatives, experiments are carried out to demonstrate effectiveness of the method. (C) 2018 Elsevier Ltd. All rights reserved.
机译:根据以前的研究,通常使用多程度的自由度(DOF)操纵器安装在机器人上以执行阀门转动任务,并且使用视觉系统用于检测阀门数据。然而,视觉系统在环境中受到限制,具有较少的可视性,并且由于多DOF操纵器被迫遵循牢固的抓握而沿着阀门遵循阀门,因此始终发生内部力。本文提出了一种基于力传感的新型阀门转动方法,并实施到六条腿机器人。首先,该方法可以使机器人能够通过视觉情况差的情况下通过力感测来判断阀门位置。此外,0-DOF工具安装在机器人的主体上。通过与正文集成,该工具具有足够的工作空间来执行操作任务。与多DOF操纵器相比,通过0-DOF工具实现的松散抓握有助于减小阀门转动过程中的内部力。此外,实时轨迹规划策略是为机器人设计的。基于上述举措,进行实验以证明该方法的有效性。 (c)2018年elestvier有限公司保留所有权利。

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