John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
AMOLF, Amsterdam, The Netherlands.
Soft Robot. 2020 Feb;7(1):1-9. doi: 10.1089/soro.2018.0149. Epub 2019 May 9.
Soft robots powered by pressurized fluid have recently enabled a variety of innovative applications in areas as diverse as space exploration, search and rescue systems, biomimetics, medical surgery, and rehabilitation. Although soft robots have been demonstrated to be capable of performing a number of different tasks, they typically require independent inflation of their constituent actuators, resulting in multiple input lines connected to separate pressure supplies and a complex actuation process. To circumvent this limitation, we embed the actuation sequencing in the system by connecting fluidic actuators with narrow tubes to exploit the effects of viscous flow. We developed modeling and optimization tools to identify optimal tube characteristics and we demonstrate the inverse design of fluidic soft robots capable of achieving a variety of complex target responses when inflated with a single pressure input. Our study opens avenues toward the design of a new generation of fluidic soft robots with embedded actuation control, in which a single input line is sufficient to achieve a wide range of functionalities.
受压缩流体驱动的软体机器人最近在多个领域实现了各种创新应用,包括太空探索、搜索和救援系统、仿生学、医疗手术以及康复等。尽管软体机器人已经被证明能够执行许多不同的任务,但它们通常需要独立充气其组成致动器,这导致多个输入线连接到单独的压力源和复杂的致动过程。为了规避这一限制,我们通过将带有细管的流体致动器连接起来,利用粘性流的效应,将致动顺序嵌入系统中。我们开发了建模和优化工具来识别最佳的管道特征,并展示了能够在单个压力输入下实现各种复杂目标响应的流体软体机器人的逆向设计。我们的研究为设计新一代嵌入式致动控制的流体软体机器人开辟了途径,其中单个输入线就足以实现广泛的功能。