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Methodology for designing and manufacturing complex biologically inspired soft robotic fluidic actuators: prosthetic hand case study

机译:设计和制造复杂的,受生物启发的软机器人流体执行器的方法:假肢案例研究

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摘要

We present a novel methodology for the design and manufacture of complex biologically inspired soft robotic fluidic actuators. The methodology is applied to the design and manufacture of a prosthetic for the hand. Real human hands are scanned to produce a 3Dmodel of a finger, and pneumatic networks are implemented within it to produce a biomimetic bending motion. The finger is then partitioned into material sections, and a genetic algorithm based optimization, using finite element analysis, is employed to discover the optimal material for each section. This is based on two biomimetic performance criteria. Two sets of optimizations using two material sets are performed. Promising optimized material arrangements are fabricated using two techniques to validate the optimization routine, and the fabricated and simulated results are compared. We find that the optimization is successful in producing biomimetic soft robotic fingers and that fabrication of the fingers is possible. Limitations and paths for development are discussed. This methodology can be applied for other fluidic soft robotic devices.
机译:我们为复杂的生物学启发的软机器人流体致动器的设计和制造提出了一种新颖的方法。该方法被应用于手假体的设计和制造。扫描人的真实手以产生手指的3D模型,并在其中实施气动网络以产生仿生弯曲运动。然后将手指分成多个材料部分,并使用基于有限元分析的遗传算法进行优化,以发现每个部分的最佳材料。这是基于两个仿生性能标准。使用两组材料进行两组优化。使用两种技术制造有希望的优化材料布置,以验证优化程序,并比较制造和仿真结果。我们发现优化技术可以成功生产仿生软机器人手指,并且可以制造手指。讨论了发展的局限和途径。该方法可以应用于其他流体软机器人设备。

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