Biological Robots: Perspectives on an Emerging Interdisciplinary Field.

IF 6.4 2区 计算机科学 Q1 ROBOTICS Soft Robotics Pub Date : 2023-08-01 DOI:10.1089/soro.2022.0142
Douglas Blackiston, Sam Kriegman, Josh Bongard, Michael Levin
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引用次数: 6

Abstract

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.

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生物机器人:一个新兴的跨学科领域的观点。
科学和工程的进步常常揭示了最初用于理解、预测和控制现象的经典方法的局限性。随着进步,概念范畴必须经常被重新评估,以便更好地跟踪最近发现的跨学科的不变量。必须完善框架并解决学科之间的冲突边界,以便它们更好地促进而不是限制实验方法和能力。在这篇文章中,我们提出了一些具体的问题和批评,这些问题和批评是对我们的研究计划的回应,这是发育生物学、计算机科学和机器人技术的交叉。在生物机器和机器人的背景下,我们探索概念和以前不同领域的变化,这些变化是由材料,信息和生命科学的最新进展驱动的。在这里,每个作者都根据自己的学科训练提供了自己对这个主题的看法。我们认为,与计算一样,发育生物学和机器人技术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的关系等问题。我们希望随着技术限制的突破,新的领域能够出现,进一步推动从再生医学到有用的合成生命机器的实际应用。
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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