Adaptive multimodal swimming gaits in a reconfigurable modular soft robotic fish
Bo Wang, MengFan Xu, Nannan Hu, Wenzhuo Gao, Jie Zhang, Zhanhua Xin, J. Q. Yu
- Year
- 2026
- Citations
- 3
Abstract
Fish swim with four main gaits-anguilliform, subcarangiform, carangiform, and thunniform-produced by waves along varying portions of the body. However, how muscle activation length influences swimming performance remains poorly understood. We present a reconfigurable robotic fish that replicates all four gaits in a single platform by rapidly tuning its body stiffness. Vacuum-driven layer jamming muscles in four tensegrity joints enable quick (≤1 s) stiffness modulation (stiffness ratio of 46.6) and gait switching. In thunniform gait, the robot reaches 1.24 body lengths per second, whereas in anguilliform gait, it achieves agile maneuvering with a turning radius of 0.26 body lengths. Fluid simulations show that the thunniform gait generates stronger vortices and 142% more thrust compared with anguilliform motion at 5 Hz, explaining its high-speed performance. The robot dynamically adapts gaits during locomotion-using thunniform for fast traversal and anguilliform for obstacle negotiation-demonstrating environmental adaptability. This work advances understanding of aquatic multimodal locomotion.
Keywords
Related papers
Artificial intelligence: a modern approach
1995
Self-Organizing Maps
Teuvo Kohonen
1995
Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller +1 more
2013
Probabilistic robotics
Sebastian Thrun
2002