首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >ANALYSIS OF TACTILE SLIPPAGE CONTROL ALGORITHM FOR ROBOTIC HAND PERFORMING GRASP-MOVE-TWIST MOTIONS
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ANALYSIS OF TACTILE SLIPPAGE CONTROL ALGORITHM FOR ROBOTIC HAND PERFORMING GRASP-MOVE-TWIST MOTIONS

机译:机器人手执行抓地力运动的触觉滑移控制算法分析

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This paper presents an analysis result of grasp-move-and-twist motions of robotic hands equipped with optical three-axis tactile sensor to evaluate performance of a new control algorithm based on tactile slippage sensation. The optical three-axis tactile sensor is capable of defining normal and shear forces simultaneously. The proposed algorithm consists of robot arm and hand controls based on parameters of normal and shear force, and slippage detection. To improve performance during grasp, move and twist motions, we present analysis of slippage direction and classify the control algorithm in two phases: grasp-move-release and grasp-twist. We present detailed explanation of the control algorithm based on the existing robot arm control system. The experiment is conducted using a bottle cap, and the analysis results show that the slippage control parameters enhanced performance of grasp control in simultaneous robot tasks. Experimental results revealed good performance of the proposed control algorithm to accomplish the proposed grasp-move-and-twist motions.
机译:本文介绍了配备有光学三轴触觉传感器的机械手的抓握和扭转运动的分析结果,以评估基于触觉滑移感觉的新型控制算法的性能。光学三轴触觉传感器能够同时定义法向力和剪切力。该算法由基于法向力和剪切力的参数的机器人手臂和手部控制以及滑动检测组成。为了提高抓握,移动和扭转运动的性能,我们对滑移方向进行了分析,并将控制算法分为两个阶段:抓握,移动,释放和扭转。我们将基于现有机器人手臂控制系统对控制算法进行详细说明。使用瓶盖进行实验,分析结果表明,滑移控制参数增强了同时执行的机器人任务中的抓地控制性能。实验结果表明,所提出的控制算法具有良好的性能,可以完成所提出的抓握和扭转运动。

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