受古生物启发的机器人技术是研究生命史的一种实验方法

IF 26.1 1区 计算机科学 Q1 ROBOTICS Science Robotics Pub Date : 2024-10-23 DOI:10.1126/scirobotics.adn1125
Michael Ishida, Fidji Berio, Valentina Di Santo, Neil H. Shubin, Fumiya Iida
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引用次数: 0

摘要

古生物学家必须面对研究已灭绝物种的形态和功能这一挑战,因为从保存下来的化石中获得的数据极为有限,只能获得深部生命的片段图景。为了应对这一挑战,我们介绍了古生物启发机器人学这一新兴领域,这是一种建立在生物启发机器人学已有技术基础上的创新方法,能够探索古生物的生物学特性及其进化轨迹。本综述以脊椎动物运动的显著转变为例,介绍了机器人平台填补现有研究空白的方法。我们研究了最近在实验古生物学方面的案例研究,强调了工程学和机器人技术所做出的重大贡献,并进一步评估了如何通过与古生物学家和生物学家密切合作,有效地应用机器人技术,为进化研究提供更多以前无法获得的见解。
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Paleoinspired robotics as an experimental approach to the history of life
Paleontologists must confront the challenge of studying the forms and functions of extinct species for which data from preserved fossils are extremely limited, yielding only a fragmented picture of life in deep time. In response to this hurdle, we describe the nascent field of paleoinspired robotics, an innovative method that builds upon established techniques in bioinspired robotics, enabling the exploration of the biology of ancient organisms and their evolutionary trajectories. This Review presents ways in which robotic platforms can fill gaps in existing research using the exemplars of notable transitions in vertebrate locomotion. We examine recent case studies in experimental paleontology, highlighting substantial contributions made by engineering and robotics techniques, and further assess how the efficient application of robotic technologies in close collaboration with paleontologists and biologists can offer additional insights into the study of evolution that were previously unattainable.
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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