粗糙表面仿生尖钩抓取机理及原型实验

Wang Bei, Xu Fengyu, Yang Zhong
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引用次数: 1

摘要

攀爬机器人被广泛用于检查光滑的墙壁,如玻璃幕墙和瓷砖表面。然而,目前还没有一种很好的吸附方法来检测悬崖壁和含尘高海拔建筑的小振幅振动。本研究提出并应用了一种利用抓爪钳对粗糙壁面进行吸附的新方法。建立了粗糙壁面上夹持器与隆起物相互作用的力学模型,分析了夹持器力平衡的临界状态。此外,利用MATLAB进行了仿真,并设计了实验样机,对夹持器的抓取稳定性进行了测试。仿真和实验结果表明,该夹持器能较好地实现对粗糙混凝土壁面的抓取吸附。研究结果为构建粗糙壁攀爬机器人系统奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grasping mechanism and prototype experiment of bionic sharp hook on rough surface
Climbing robots are widely used to inspect smooth walls, such as glass curtain walls and ceramic tile surfaces. However, a good adsorption method for inspecting a cliffface and dusty high-altitude buildings with small-amplitude vibration has not been found. In this study, a new adsorption method using grasping claw grippers to adhere to rough walls is proposed and applied. A mechanical model for the interaction between the gripper and the uplifts on rough walls is also established to analyze the critical state of force balance of the gripper. In addition, MATLAB is used in a simulation, and an experimental prototype is designed to test the grasp stability of the gripper. Simulation and experiment results indicate that the gripper can adequately achieve grasping adsorption on a rough concrete wall. The findings provide a foundation for constructing a system for a rough-wall-climbing robot.
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