From beetle to bot: bioinspired design of robotic grippers based on stag beetle mandible biomechanics.

IF 3 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Mahdi Rajabi, Sepehr H Eraghi, Arman Toofani, Shayan Ramezanpour, Preenjot Singh, Jianing Wu, Chung-Ping Lin, Hamed Rajabi
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引用次数: 0

Abstract

Conventional rigid grippers remain the most-used robotic grippers in industrial assembly tasks. However, they are limited in their ability to handle a diverse range of objects. This study draws inspiration from nature to address these limitations, employing multidisciplinary methods, such as computer-aided design, parametric modeling, finite element analysis, 3D printing, and mechanical testing. Computational analysis of three distinct mandible morphs from the stag beetleCyclommatus mniszechirevealed that key geometric features-specifically mandible curvature and denticle arrangement-govern a functional trade-off between grasping ability and structural safety. This analysis identified a specific morphology optimized for superior grabbing performance, which served as the template for our design. Leveraging these biological principles, we used parametric modeling to design, and 3D printing to fabricate, a series of novel, mechanically intelligent grippers. Mechanical testing of these prototypes validated our design approach, demonstrating that specific modifications to curvature could significantly enhance the gripper's load-bearing capacity while minimizing object damage. This work establishes a clear pathway from biomechanical analysis to engineered application, offering a robust and cost-efficient blueprint for developing next-generation grippers that operate effectively without complex sensing or actuation systems for tasks in manufacturing, logistics, and healthcare.

从甲虫到机器人:基于鹿角甲虫下颌骨生物力学的仿生机械手设计。
传统的刚性夹具仍然是工业装配任务中使用最多的机器人夹具。然而,它们处理各种对象的能力有限。本研究从自然界中汲取灵感,采用计算机辅助设计、参数化建模、有限元分析、3D打印和力学测试等多学科方法来解决这些局限性。对鹿角甲虫cyommatus mniszechi三种不同的下颌骨形态进行计算分析,揭示了关键的几何特征——特别是下颌骨曲率和齿状排列——在抓握能力和结构安全之间的功能平衡。该分析确定了一种特定的形态,优化了优越的抓取性能,作为我们设计的模板。 ;利用这些生物学原理,我们使用参数化建模来设计,3D打印来制造一系列新颖的机械智能抓取器。这些原型的机械测试验证了我们的设计方法,表明对曲率的特定修改可以显着提高夹持器的承载能力,同时最大限度地减少物体损伤。这项工作为从生物力学分析到工程应用建立了一条清晰的途径,为开发下一代抓手提供了一个强大而经济高效的蓝图,这些抓手在制造、物流和医疗保健任务中无需复杂的传感或驱动系统就能有效运行。 。
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来源期刊
Bioinspiration & Biomimetics
Bioinspiration & Biomimetics 工程技术-材料科学:生物材料
CiteScore
5.90
自引率
14.70%
发文量
132
审稿时长
3 months
期刊介绍: Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology. The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: Systems, designs and structure Communication and navigation Cooperative behaviour Self-organizing biological systems Self-healing and self-assembly Aerial locomotion and aerospace applications of biomimetics Biomorphic surface and subsurface systems Marine dynamics: swimming and underwater dynamics Applications of novel materials Biomechanics; including movement, locomotion, fluidics Cellular behaviour Sensors and senses Biomimetic or bioinformed approaches to geological exploration.
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