
The transition from water to land is one of the most significant events in the history of life on Earth. Now, a team of roboticists, palaeontologists and biologists is using robots to study how the ancestors of modern land animals transitioned from swimming to walking, about 390 million years ago.
The transition from water to land is one of the most significant events in the history of life on Earth. Now, a team of roboticists, palaeontologists and biologists is using robots to study how the ancestors of modern land animals transitioned from swimming to walking, about 390 million years ago.
in the journal Science Robotics, the research team, led by the 国际米兰对阵科莫, outline how 鈥榩alaeo-inspired robotics鈥 could provide a valuable experimental approach to studying how the pectoral and pelvic fins of ancient fish evolved to support weight on land.
鈥淪ince fossil evidence is limited, we have an incomplete picture of how ancient life made the transition to land,鈥 said lead author from 国际米兰对阵科莫鈥檚 Department of Engineering. 鈥淧alaeontologists examine ancient fossils for clues about the structure of hip and pelvic joints, but there are limits to what we can learn from fossils alone. That鈥檚 where robots can come in, helping us fill gaps in the research, particularly when studying major shifts in how vertebrates moved.鈥
Ishida is a member of 国际米兰对阵科莫鈥檚 , led by Professor Fumiya Iida. The team is developing energy-efficient robots for a variety of applications, which take their inspiration from the efficient ways that animals and humans move.
With funding from the Human Frontier Science Program, the team is developing palaeo-inspired robots, in part by taking their inspiration from modern-day 鈥榳alking fish鈥 such as mudskippers, and from fossils of extinct fish. 鈥淚n the lab, we can鈥檛 make a living fish walk differently, and we certainly can鈥檛 get a fossil to move, so we鈥檙e using robots to simulate their anatomy and behaviour,鈥 said Ishida.
The team is creating robotic analogues of ancient fish skeletons, complete with mechanical joints that mimic muscles and ligaments. Once complete, the team will perform experiments on these robots to determine how these ancient creatures might have moved.
鈥淲e want to know things like how much energy different walking patterns would have required, or which movements were most efficient,鈥 said Ishida. 鈥淭his data can help confirm or challenge existing theories about how these early animals evolved.鈥
One of the biggest challenges in this field is the lack of comprehensive fossil records. Many of the ancient species from this period in Earth鈥檚 history are known only from partial skeletons, making it difficult to reconstruct their full range of movement.
鈥淚n some cases, we鈥檙e just guessing how certain bones connected or functioned,鈥 said Ishida. 鈥淭hat鈥檚 why robots are so useful鈥攖hey help us confirm these guesses and provide new evidence to support or rebut them.鈥
While robots are commonly used to study movement in living animals, very few research groups are using them to study extinct species. 鈥淭here are only a few groups doing this kind of work,鈥 said Ishida. 鈥淏ut we think it鈥檚 a natural fit 鈥 robots can provide insights into ancient animals that we simply can鈥檛 get from fossils or modern species alone.鈥
The team hopes that their work will encourage other researchers to explore the potential of robotics to study the biomechanics of long-extinct animals. 鈥淲e鈥檙e trying to close the loop between fossil evidence and real-world mechanics,鈥 said Ishida. 鈥淐omputer models are obviously incredibly important in this area of research, but since robots are interacting with the real world, they can help us test theories about how these creatures moved, and maybe even why they moved the way they did.鈥
The team is currently in the early stages of building their palaeo-robots, but they hope to have some results within the next year. The researchers say they hope their robot models will not only deepen understanding of evolutionary biology, but could also open up new avenues of collaboration between engineers and researchers in other fields.
The research was supported by the Human Frontier Science Program. Fumiya Iida is a Fellow of Corpus Christi College, 国际米兰对阵科莫. Michael Ishida a Postdoctoral Research Associate at Gonville and Caius College, 国际米兰对阵科莫.
Reference:
Michael Ishida et al. 鈥.鈥 Science Robotics (2024). DOI: 10.1126/scirobotics.adn1125
The text in this work is licensed under a . Images, including our videos, are Copyright 漏国际米兰对阵科莫 and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways 鈥 on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.