Abstract
A compliant plate driven by an active joint is frequently employed as a fin to improve swimming efficiency due to its continuous and compliant kinematics. However, very few studies have focused on the performance-oriented design of multijoint mechanisms enhanced with flexible fins, particularly regarding critical design factors such as the active-joint ratio and dimension-related stiffness distribution of the fin. To this aim, we developed a robotic tadpole by integrating a multijoint mechanism with a flexible fin and conduct a comprehensive investigation of its swimming performance with different tail configurations. A dynamic model with identified hydrodynamic parameters was established to predict propulsive performance. Numerous simulations and experiments were conducted to explore the impact of the active-joint ratio and the dimension-related stiffness distribution of the fin. The results reveal that (a) tails with different active-joint ratios achieve their best performance at a small phase difference, while tails with a larger active-joint ratio tend to perform worse than those with a smaller active-joint ratio when a larger phase difference is used; (b) the optimal active-joint ratio enables the robot to achieve superior performance in terms of swimming velocity and energy efficiency; and (c) with the same surface area, a longer fin with a wide leading edge and a narrow trailing edge can achieve higher swimming speeds with lower energy consumption. This work presents novel and in-depth insights into the design of bio-inspired underwater robots with compliant propulsion mechanisms.
| Original language | English |
|---|---|
| Pages (from-to) | 607-624 |
| Number of pages | 18 |
| Journal | Journal of Field Robotics |
| Volume | 42 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- bio-inspired propulsion
- flexible fin
- multilink mechanism
- optimization
- robotic fish
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
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