Stella Francesco, Hughes Josie
CREATE Lab, Institute of Mechanical Engineering, EPFL, Switzerland.
Front Robot AI. 2023 Jan 18;9:1059026. doi: 10.3389/frobt.2022.1059026. eCollection 2022.
Novel technologies, fabrication methods, controllers and computational methods are rapidly advancing the capabilities of soft robotics. This is creating the need for design techniques and methodologies that are suited for the multi-disciplinary nature of soft robotics. These are needed to provide a formalized and scientific approach to design. In this paper, we formalize the scientific questions driving soft robotic design; what motivates the design of soft robots, and what are the fundamental challenges when designing soft robots? We review current methods and approaches to soft robot design including bio-inspired design, computational design and human-driven design, and highlight the implications that each design methods has on the resulting soft robotic systems. To conclude, we provide an analysis of emerging methods which could assist robot design, and we present a review some of the necessary technologies that may enable these approaches.
新型技术、制造方法、控制器和计算方法正在迅速提升软机器人的能力。这就产生了对适合软机器人多学科性质的设计技术和方法的需求。这些技术和方法对于提供一种形式化且科学的设计方法是必不可少的。在本文中,我们将驱动软机器人设计的科学问题形式化;是什么推动了软机器人的设计,以及设计软机器人时的根本挑战是什么?我们回顾了当前软机器人设计的方法和途径,包括仿生设计、计算设计和人为驱动设计,并强调了每种设计方法对最终软机器人系统的影响。最后,我们对有助于机器人设计的新兴方法进行了分析,并综述了一些可能实现这些方法的必要技术。