ArticleScientific reports2022
Design and control of soft biomimetic pangasius fish robot using fin ray effect and reinforcement learning.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Advancements in Machine Learning-Assisted Flexible Electronics: Technologies, Applications, and Future Prospects.Biosensors · 2026Pooled it
- From Biological Mechanisms to Task-Oriented Design Principles: A Critical Review of Fish-like Biomimetic Robots.Biomimetics (Basel, Switzerland) · 2026Review
- Reinforcement Learning-Enabled Control and Design of Rigid-Link Robotic Fish: A Comprehensive Review.Sensors (Basel, Switzerland) · 2026Review
- Longitudinal Model Identification and Controller Design for a Fish Robot with Control Fins via Experiments.Biomimetics (Basel, Switzerland) · 2025Article
- AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions.Biomimetics (Basel, Switzerland) · 2025Review
- A Bio-Inspired Data-Driven Locomotion Optimization Framework for Adaptive Soft Inchworm Robots.Biomimetics (Basel, Switzerland) · 2025Article
- Analysis of Cushioned Landing Strategies of Cats Based on Posture Estimation.Biomimetics (Basel, Switzerland) · 2024Article
- Exploring Embodied Intelligence in Soft Robotics: A Review.Biomimetics (Basel, Switzerland) · 2024Review
- Continuum Robots and Magnetic Soft Robots: From Models to Interdisciplinary Challenges for Medical Applications.Micromachines · 2024Review
- A Survey on Reinforcement Learning Methods in Bionic Underwater Robots.Biomimetics (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft robots provide a pathway to accurately mimic biological creatures and be integrated into their environment with minimal invasion or disruption to their ecosystem. These robots made from soft deforming materials possess structural properties and behaviors similar to the bodies and organs of living creatures. However, they are difficult to develop in terms of integrated actuation and sensing, accurate modeling, and precise control. This article presents a soft-rigid hybrid robotic fish inspired by the Pangasius fish. The robot employs a flexible fin ray tail structure driven by a servo motor, to act as the soft body of the robot and provide the undulatory motion to the caudal fin of the fish. To address the modeling and control challenges, reinforcement learning (RL) is proposed as a model-free control strategy for the robot fish to swim and reach a specified target goal. By training and investigating the RL through experiments on real hardware, we illustrate the capability of the fish to learn and achieve the required task.
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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.