A Survey on Reinforcement Learning Methods in Bionic Underwater Robots
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots
Authors
Keywords
-
Journal
Biomimetics
Volume 8, Issue 2, Pages 168
Publisher
MDPI AG
Online
2023-04-20
DOI
10.3390/biomimetics8020168
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-Agent Reinforcement Learning Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel
- (2023) Changlin Qiu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Towards end-to-end formation control for robotic fish via deep reinforcement learning with non-expert imitation
- (2023) Yihao Sun et al. OCEAN ENGINEERING
- Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number
- (2022) Francesco Borra et al. Physical Review Fluids
- An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning
- (2022) Yubing Mao et al. Journal of Marine Science and Engineering
- Bipedal Walking of Underwater Soft Robot Based on Data-Driven Model Inspired by Octopus
- (2022) Qiuxuan Wu et al. Frontiers in Robotics and AI
- Design, Modeling, and Visual Learning-Based Control of Soft Robotic Fish Driven by Super-Coiled Polymers
- (2022) Sunil Kumar Rajendran et al. Frontiers in Robotics and AI
- Reinforcement learning control for the swimming motions of a beaver-like, single-legged robot based on biological inspiration
- (2022) Gang Chen et al. ROBOTICS AND AUTONOMOUS SYSTEMS
- Simultaneous Control and Guidance of an AUV Based on Soft Actor–Critic
- (2022) Yoann Sola et al. SENSORS
- Multi-environment robotic transitions through adaptive morphogenesis
- (2022) Robert Baines et al. NATURE
- Multi-objective evolutionary design of central pattern generator network for biomimetic robotic fish
- (2022) Wei Kun Li et al. Complex & Intelligent Systems
- From Simulation to Reality: A Learning Framework for Fish-Like Robots to Perform Control Tasks
- (2022) Tianhao Zhang et al. IEEE Transactions on Robotics
- Design of Deep Reinforcement Learning Controller Through Data-assisted Model for Robotic Fish Speed Tracking
- (2022) Palmani Duraisamy et al. Journal of Bionic Engineering
- A two-level optimization algorithm for path planning of bionic robotic fish in the three-dimensional environment with ocean currents and moving obstacles
- (2022) Qunhong Tian et al. OCEAN ENGINEERING
- Design and control of soft biomimetic pangasius fish robot using fin ray effect and reinforcement learning
- (2022) Samuel M. Youssef et al. Scientific Reports
- Bioinspired Propulsion System for a Thunniform Robotic Fish
- (2022) Iliya Mitin et al. Biomimetics
- How Non-Uniform Stiffness Affects the Propulsion Performance of a Biomimetic Robotic Fish
- (2022) Changzhen Zheng et al. Biomimetics
- Real-World Learning Control for Autonomous Exploration of a Biomimetic Robotic Shark
- (2022) Shuaizheng Yan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Autonomous Skill Learning of Water Polo Ball Heading for a Robotic Fish: Curriculum and Verification
- (2022) Tiandong Zhang et al. IEEE Transactions on Cognitive and Developmental Systems
- Learning for Depth Control of a Robotic Penguin: A Data-Driven Model Predictive Control Approach
- (2022) Jie Pan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Drone Deep Reinforcement Learning: A Review
- (2021) Ahmad Taher Azar et al. Electronics
- A survey of inverse reinforcement learning: Challenges, methods and progress
- (2021) Saurabh Arora et al. ARTIFICIAL INTELLIGENCE
- Fish can save energy via proprioceptive sensing
- (2021) Liang Li et al. Bioinspiration & Biomimetics
- Learning how to avoid obstacles: A numerical investigation for maneuvering of self‐propelled fish based on deep reinforcement learning
- (2021) Lang Yan et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- Deep reinforcement learning based mobile robot navigation: A review
- (2021) Kai Zhu et al. TSINGHUA SCIENCE AND TECHNOLOGY
- Learning for Attitude Holding of a Robotic Fish: An End-to-End Approach With Sim-to-Real Transfer
- (2021) Junzheng Zheng et al. IEEE Transactions on Robotics
- Gliding Motion Optimization for a Biomimetic Gliding Robotic Fish
- (2021) Huijie Dong et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning
- (2021) Yu Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Development and Control of a Bioinspired Robotic Remora for Hitchhiking
- (2021) Pengfei Zhang et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
- (2020) Jingliang Duan et al. IET Intelligent Transport Systems
- AUV 3D Path Planning Based on the Improved Hierarchical Deep Q Network
- (2020) Yushan Sun et al. Journal of Marine Science and Engineering
- Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm
- (2020) Zhenzhong Chu et al. IET Intelligent Transport Systems
- Reaction-Wheel-Based Roll Stabilization for a Robotic Fish Using Neural Network Sliding Mode Control
- (2020) Pengfei Zhang et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Tunabot Flex: a tuna-inspired robot with body flexibility improves high-performance swimming
- (2020) Carl White et al. Bioinspiration & Biomimetics
- Learning quadrupedal locomotion over challenging terrain
- (2020) Joonho Lee et al. Science Robotics
- Efficient Cooperative Structured Control for a Multijoint Biomimetic Robotic Fish
- (2020) Shuaizheng Yan et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Underwater Target Tracking Control of an Untethered Robotic Fish With a Camera Stabilizer
- (2020) Junzhi Yu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Toward a Novel Robotic Manta With Unique Pectoral Fins
- (2020) Yan Meng et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning
- (2019) Matthew Ishige et al. Soft Robotics
- Motion Control Strategies for a Repetitive Leaping Robotic Dolphin
- (2019) Junzhi Yu et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Design and attitude control of a novel robotic jellyfish capable of 3D motion
- (2019) Junzhi Yu et al. Science China-Information Sciences
- Tuna robotics: A high-frequency experimental platform exploring the performance space of swimming fishes
- (2019) J. Zhu et al. Science Robotics
- SoftCon
- (2019) Sehee Min et al. ACM TRANSACTIONS ON GRAPHICS
- Learning dexterous in-hand manipulation
- (2019) OpenAI: Marcin Andrychowicz et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
- (2019) Shubhani Aggarwal et al. COMPUTER COMMUNICATIONS
- Design and Control of a Two-Motor-Actuated Tuna-Inspired Robot System
- (2019) Sheng Du et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Model Predictive Control-Based Depth Control in Gliding Motion of a Gliding Robotic Dolphin
- (2019) Jian Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Motion Control of Robotic Fish Under Dynamic Environmental Conditions Using Adaptive Control Approach
- (2018) Saurab Verma et al. IEEE JOURNAL OF OCEANIC ENGINEERING
- Efficient collective swimming by harnessing vortices through deep reinforcement learning
- (2018) Siddhartha Verma et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Attitude control of underwater glider combined reinforcement learning with active disturbance rejection control
- (2018) Zhi-qiang Su et al. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
- A Novel Robot Fish With Wire-Driven Active Body and Compliant Tail
- (2017) Yong Zhong et al. IEEE-ASME TRANSACTIONS ON MECHATRONICS
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- A Paradigm for Path Following Control of a Ribbon-Fin Propelled Biomimetic Underwater Vehicle
- (2017) Rui Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
- (2017) Rongxin Cui et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Fast-moving soft electronic fish
- (2017) Tiefeng Li et al. Science Advances
- Coordination of Multiple Robotic Fish With Applications to Underwater Robot Competition
- (2016) Junzhi Yu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- A Data-driven Motion Control Approach for a Robotic Fish
- (2015) Qinyuan Ren et al. Journal of Bionic Engineering
- A School of Robotic Fish for Mariculture Monitoring in the Sea Coast
- (2015) Young-Sun Ryuh et al. Journal of Bionic Engineering
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
- (2012) Auke Jan Ijspeert et al. NEURAL COMPUTATION
- A biomimetic robotic jellyfish (Robojelly) actuated by shape memory alloy composite actuators
- (2011) Alex Villanueva et al. Bioinspiration & Biomimetics
- Three-Dimensional Swimming
- (2011) Junzhi Yu et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
- Fuzzy Vorticity Control of a Biomimetic Robotic Fish Using a Flapping Lunate Tail
- (2010) Tianmiao Wang et al. Journal of Bionic Engineering
- Online Optimization of Swimming and Crawling in an Amphibious Snake Robot
- (2008) A. Crespi et al. IEEE Transactions on Robotics
- Central pattern generators for locomotion control in animals and robots: A review
- (2008) Auke Jan Ijspeert NEURAL NETWORKS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started