Department of Biology, Allen Discovery Center at Tufts University, Medford, Massachusetts, USA.
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA.
Soft Robot. 2023 Aug;10(4):674-686. doi: 10.1089/soro.2022.0142. Epub 2023 Apr 20.
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered invariants across disciplines. It is essential to refine frameworks and resolve conflicting boundaries between disciplines such that they better facilitate, not restrict, experimental approaches and capabilities. In this essay, we address specific questions and critiques which have arisen in response to our research program, which lies at the intersection of developmental biology, computer science, and robotics. In the context of biological machines and robots, we explore changes across concepts and previously distinct fields that are driven by recent advances in materials, information, and life sciences. Herein, each author provides their own perspective on the subject, framed by their own disciplinary training. We argue that as with computation, certain aspects of developmental biology and robotics are not tied to specific materials; rather, the consilience of these fields can help to shed light on issues of multiscale control, self-assembly, and relationships between form and function. We hope new fields can emerge as boundaries arising from technological limitations are overcome, furthering practical applications from regenerative medicine to useful synthetic living machines.
科学和工程的进步常常揭示出最初用于理解、预测和控制现象的经典方法的局限性。随着进步,概念类别必须经常重新评估,以更好地追踪跨学科最近发现的不变量。至关重要的是要完善框架并解决学科之间的冲突界限,以使它们更好地促进而不是限制实验方法和能力。在本文中,我们针对我们的研究计划提出了具体的问题和批评,该计划位于发育生物学、计算机科学和机器人学的交叉点。在生物机器和机器人的背景下,我们探索了由材料、信息和生命科学的最新进展驱动的概念和先前不同领域的变化。在这里,每位作者都根据自己的学科背景提供了自己对该主题的看法。我们认为,与计算一样,发育生物学和机器人学的某些方面与特定材料无关;相反,这些领域的一致性可以帮助阐明多尺度控制、自组装以及形式与功能之间关系的问题。我们希望随着克服技术限制产生的新领域出现,从再生医学到有用的合成生命机器的实际应用能够进一步发展。