机器人学
进化机器人
人工智能
人工生命
领域(数学)
计算机科学
机器人
数据科学
数学
纯数学
作者
Michael Ishida,Fidji Berio,Valentina Di Santo,Neil H. Shubin,Fumiya Iida
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2024-10-23
卷期号:9 (95)
标识
DOI:10.1126/scirobotics.adn1125
摘要
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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