基于滑动触觉传感器的机械手抓取预滑动检测

Yangyang Ma, Ying Huang, L. Mao, Ping Liu, Caixia Liu, Y. Ge
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引用次数: 7

摘要

触觉传感器提供了许多视觉传感器无法提供的关键信息,如力或振动。在机器人抓取任务中,预滑动检测是保证抓取目标稳定、安全的关键。本文提出了一种用于灵巧机械手的柔性滑动触觉传感器,并针对该传感器提出了相应的解耦算法。该传感器作为电子皮肤集成在机器人表面,可以同时检测法向力和切向力。滑动触觉传感器主要由炭黑(CB)、石墨烯纳米片(GNPs)和PDMS组成。此外,将简化的解耦算法嵌入到CPU中,使所设计的传感器能够借助接触模型动态检测预滑动。本文将首先介绍传感器的制作和结构以及解耦算法,然后讨论接触模型和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-sliding detection in robot hand grasping based on slip-tactile sensor
Tactile sensor provides plenty of critical information vision sensor can't offer, such as force or vibration. In robot grasping task, pre-sliding detection is critical to grasp object steadily and safely. In this paper, a flexible slip-tactile sensor for a dexterous robot hand and a corresponding decouple algorithm aiming at the sensor are presented. The sensor is designed to be integrated in the surface of robot as e-skin, which can detect normal force and tangential force simultaneously. The main components of slip-tactile sensor consist of arbon black (CB), graphene nanoplatelets (GNPs) and PDMS. Additionally, the simplified decouple algorithm is embedded into the CPU, which makes the designed sensor capable to detect the pre-sliding with the help of the contact model dynamically. The manufacture and construction of the sensor and the decouple algorithm will be explained firstly, the contact model and the results will be discussed next.
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