抓取式空中拓扑优化机器人(GATOR)

Alexandre T. Guibert, Robert J. Chambers, Pengcheng Cao, H. Kim, S. Cai, F. Kuester
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引用次数: 0

摘要

介绍了一种夹持式空中拓扑优化机器人(GATOR)的设计、建模、制造和测试。这种无人驾驶飞行器(UAV)的机身设计为轻量化、结构刚性、模块化和多功能。水平集拓扑优化(LSTO)方法定义了框架的外部几何形状,而框架填充使用基于有限元分析(FEA)结果的变厚度网格技术进行控制。UAV集成了一个柔软的机器人抓取器,允许飞行器从环境和栖木中收集精细的样品,用于长时间的低功耗使用。提出了一种可安装式柔性机器人夹持器的仿生设计和制造方法,并推导了相应的运动学方程。为了进一步减轻设计的重量,通过扫描电子显微镜(SEM)和拉伸测试仔细表征后,引入了一种新型的体积变化材料。由此产生的平台利用材料挤压技术利用增材制造,可以快速地与推进和飞行控制系统进行仪器仪表化。所提出的模块化设计方法可应用于各种空中平台和轻型结构的快速原型设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gripping Aerial Topology Optimized Robot (GATOR)
This paper introduces the design, modeling, manufacturing, and testing of a Gripping Aerial Topology Optimized Robot (GATOR). The airframe of this unmanned aerial vehicle (UAV) is designed to be lightweight, structurally stiff, modular, and multi-functional. A Level-Set Topology Optimization (LSTO) method defines the external geometry of the frame, while the frame infill is controlled using a variable thickness latticing technique based on Finite Element Analysis (FEA) results. The UAV incorporates a soft robotic gripper, allowing the vehicle to collect delicate samples from the environment and perch for low-power use for extended periods. The bio-inspired design and fabrication of a mountable soft robotic gripper are presented and the associated kinematics are derived for controls. To further decrease the weight of the designs a novel volume-changing material was introduced following careful characterization through Scanning Electron Microscopy (SEM) and tensile testing. The resulting platform leverages additive manufacturing using material extrusion technology and can be swiftly instrumented with propulsion and flight control systems. The presented modular design methodology can be applied to the rapid prototyping of a broad range of aerial platforms and lightweight structures.
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