基于滑移检测装置实现的机械人手模型再夹持分析

Abdulrahman Abdulkareem S. Al-Shanoon, S. A. Ahmad, M. K. Hassan
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引用次数: 2

摘要

为了开发智能机械手,已经应用了多种方法,包括最佳抓握力和滑移分析。在这项研究中,用触觉压力传感器模拟了一只机器人手。滑移检测传感器采用旋转编码器装置表示,用于指示滑移情况特征、距离和速度。实验结果表明,物体滑动距离与所需的重新夹持力之间的相关性被开发为一种自动反馈算法。揭示并分析了滑脱事件,实现了重抓任务的控制系统机理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-gripping analysis based on implementation of slip-detection device for robotic hand model
To develop an intelligent robotic hand, diverse approaches have been applied, including optimum gripping force and slippage analysis. In this study, a robotic hand was modeled with tactile pressure sensors. The slip detection sensor, which is represented as a rotary encoder device, was employed to indicate the slip situation features, distance and velocity. Empirical findings imply that the correlation between the distance that an object has slipped and the required re-gripping force was developed to be availed as an automatic feedback algorithm. The slippage events were revealed and analyzed to perform the control system mechanism of the re-gripping mission.
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