Asymmetric fin shape changes swimming dynamics of ancient marine reptiles' soft robophysical models.

Journal: Bioinspiration & biomimetics
PMID:

Abstract

Animals have evolved highly effective locomotion capabilities in terrestrial, aerial, and aquatic environments. Over life's history, mass extinctions have wiped out unique animal species with specialized adaptations, leaving paleontologists to reconstruct their locomotion through fossil analysis. Despite advancements, little is known about how extinct megafauna, such as the Ichthyosauria one of the most successful lineages of marine reptiles, utilized their varied morphologies for swimming. Traditional robotics struggle to mimic extinct locomotion effectively, but the emerging soft robotics field offers a promising alternative to overcome this challenge. This paper aims to bridge this gap by studyinglocomotion with soft robotics, combining material modeling and biomechanics in physical experimental validation. Combining a soft body with soft pneumatic actuators, the soft robotic platform described in this study investigates the correlation between asymmetrical fins and buoyancy by recreating the pitch torque generated by extinct swimming animals. We performed a comparative analysis of thrust and torque generated by,,,, andtail fins in a flow tank. Experimental results suggest that the pitch torque on the torso generated by hypocercal fin shapes such as found in model systems of,andproduce distinct ventral body pitch effects able to mitigate the animal's non-neutral buoyancy. This body pitch control effect is particularly pronounced in, which results suggest would have been able to generate high ventral pitch torque on the torso to compensate for its positive buoyancy. By contrast, homocercal fin shapes may not have been conducive for such buoyancy compensation, leaving torso pitch control to pectoral fins, for example. Across the range of the actuation frequencies of the caudal fins tested, resulted in oscillatory modes arising, which in turn can affect the for-aft thrust generated.

Authors

  • Hadrien Sprumont
    Soft Kinetic Group, Engineering Sciences Department, Empa, 8600 Zuerich, Switzerland.
  • Federico Allione
    Soft Kinetic Group, Engineering Sciences Department, Empa, 8600 Zuerich, Switzerland.
  • Fabian Schwab
    Locomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, Stuttgart 70569, Germany.
  • Bingcheng Wang
    Soft Kinetic Group, Engineering Sciences Department, Empa, 8600 Zuerich, Switzerland.
  • Claudio Mucignat
    Laboratory for Computational Engineering, Empa, 8600 Zuerich, Switzerland.
  • Ivan Lunati
    Laboratory for Computational Engineering, Empa, 8600 Zuerich, Switzerland.
  • Torsten Scheyer
    Paläontologisches Institut und Museum, Universität Zürich, 8006 Zuerich, Switzerland.
  • Auke Ijspeert
    Biorobotics Laboratory (BioRob), Ecole polytechnique fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
  • Ardian Jusufi
    1 Centre for Autonomous Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney.