Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA.
Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Sci Robot. 2021 Apr 28;6(53). doi: 10.1126/scirobotics.abg6049.
The establishment of a new academic field is often characterized by a phase of rapid growth, as seen over the last decade in the field of soft robotics. However, such growth can be followed by an equally rapid decline if concerted efforts are not made by the community. Here, we argue that for soft robotics to take root and have impact in the next decade, we must move beyond "soft for soft's sake" and ensure that each study makes a meaningful contribution to the field and, ideally, to robotics and engineering more broadly. We present a three-tiered categorization to help researchers and reviewers evaluate work and guide studies toward higher levels of contribution. We ground this categorization with historical examples of soft solutions outside of robotics that were transformative. We believe that the proposed self-reflection is essential if soft robotics is to be an impactful field in the next decade, advancing robotics and engineering both within and beyond academia and creating soft solutions that are quantitatively superior to the current state of the art-soft, rigid, or otherwise.
新学术领域的建立通常以快速增长为特征,过去十年的软机器人领域就是如此。然而,如果该领域的研究人员不共同努力,这种增长可能会迅速消退。在这里,我们认为,为了使软机器人在未来十年扎根并产生影响,我们必须超越“为软而软”,确保每项研究都对该领域做出有意义的贡献,并且理想情况下对机器人技术和更广泛的工程领域做出有意义的贡献。我们提出了一个三层分类法,以帮助研究人员和评审人员评估工作,并引导研究朝着更高层次的贡献发展。我们以机器人学以外的具有变革性的软解决方案的历史实例为基础来确定这一分类。我们相信,如果软机器人要成为下一个十年有影响力的领域,推动机器人技术和工程学在学术界内外的发展,并创造出比当前软、硬或其他技术更具优势的软解决方案,那么这种自我反思是必不可少的。