ArticleBiomimetics (Basel, Switzerland)2022
Thrust Improvement of a Biomimetic Robotic Fish by Using a Deformable Caudal Fin.
Article in Biomimetics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- From Biological Mechanisms to Task-Oriented Design Principles: A Critical Review of Fish-like Biomimetic Robots.Biomimetics (Basel, Switzerland) · 2026Review
- Hydrodynamic evaluation of a spider-inspired underwater robot using distributed flapping fin propulsion.Scientific reports · 2026Article
- The Design, Modeling, and Experiment of a Novel Diving-Beetle-Inspired Paddling Propulsion Robot.Biomimetics (Basel, Switzerland) · 2025Article
- A Mechanical Approach for Comparing Jaws in Fishes.Biomimetics (Basel, Switzerland) · 2024Article
- Design and Reality-Based Modeling Optimization of a Flexible Passive Joint Paddle for Swimming Robots.Biomimetics (Basel, Switzerland) · 2024Article
- Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning.Biomimetics (Basel, Switzerland) · 2024Article
- Performance Optimization for Bionic Robotic Dolphin with Active Variable Stiffness Control.Biomimetics (Basel, Switzerland) · 2023Article
- Underwater Undulating Propulsion Biomimetic Robots: A Review.Biomimetics (Basel, Switzerland) · 2023Review
- Quantifying the Leaping Motion Using a Self-Propelled Bionic Robotic Dolphin Platform.Biomimetics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
In nature, live fish has various deformable fins which are capable to promote the swimming speed, efficiency, stability, and thrust generation. However, this feature is rarely possessed by current man-made biomimetic robotic fishes. In this paper, a novel deformable caudal fin platform is proposed to improve thrust generation of biomimetic robotic fish. First, the design of the deformable caudal fin is given, which includes a servo motor, a gear-based transmission mechanism, fin bones, and silica membrane. Second, an improved Central Pattern Generator (CPG) model was developed to coordinately control the flapping of the tail and the deformation of the caudal fin. More specifically, three deformation patterns, i.e., conventional nondeformable mode, sinusoidal-based mode, instant mode, of the caudal fin are investigated. Third, extensive experiments are conducted to explore the effects of deformation of the caudal fin on the thrust generation of the biomimetic robotic fish. It was found that the instant mode of the caudal fin has the largest thrust, which sees a 27.5% improvement compared to the conventional nondeformable mode, followed by the sinusoidal-based mode, which also sees an 18.2% improvement. This work provides a novel way to design and control the deformation of the caudal fin, which sheds light on the development of high-performance biomimetic robotic fish.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.