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 discuss issues at the intersection of developmental biology, computer science, and robotics. In the context of biological 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 multi-scale 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.
翻译:科学与工程的进步往往揭示了最初用于理解、预测和控制现象的古典方法的局限性。随着进展,概念类别往往必须重新评价,以便更好地跟踪最近发现的学科间差异。必须完善框架并解决学科间矛盾的界限,以便更好地促进而不是限制实验方法和能力。在本论文中,我们讨论发展生物学、计算机科学和机器人的交叉问题。在生物机器人方面,我们探索由材料、信息和生命科学的最新进步所驱动的概念和以前不同的领域的变化。在这里,每个作者都提供他们自己对这个主题的看法,由他们自己的学科培训来制定。我们认为,在计算方面,发展生物学和机器人的某些方面与具体材料没有联系;相反,这些领域的和谐性有助于揭示多种规模控制、自我组合以及形式和功能之间的关系等问题。我们希望,随着技术限制的界限被克服,从再生医学到有用的合成生物机器,新的领域能够出现。