Towards end-to-end formation control for robotic fish via deep reinforcement learning with non-expert imitation

A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning

(2022) Shuwu Wang et al.   OCEAN ENGINEERING

Multiagent Path Finding Using Deep Reinforcement Learning Coupled With Hot Supervision Contrastive Loss

(2022) Lin Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Implicit coordination for 3D underwater collective behaviors in a fish-inspired robot swarm

(2021) Florian Berlinger et al.   Science Robotics

Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method

(2021) Keisuke Doi et al.   PLoS One

Fish can save energy via proprioceptive sensing

(2021) Liang Li et al.   Bioinspiration & Biomimetics

Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps

(2021) Chao Yan et al.   IEEE Transactions on Industrial Informatics

Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards

(2020) Chao Wang et al.   IEEE Internet of Things Journal

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration

(2020) Zezhi Sui et al.   IEEE Transactions on Neural Networks and Learning Systems

Efficient Cooperative Structured Control for a Multijoint Biomimetic Robotic Fish

(2020) Shuaizheng Yan et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments

(2019) Chao Yan et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

CPG-based autonomous swimming control for multi-tasks of a biomimetic robotic fish

(2019) Cafer Bal et al.   OCEAN 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

BCF swimming locomotion for autonomous underwater robots: a review and a novel solution to improve control and efficiency

(2017) David Scaradozzi et al.   OCEAN ENGINEERING

Consensus-based leader-following formation control for a group of semi-biomimetic robotic fishes

(2017) Shouxu Zhang et al.   International Journal of Advanced Robotic Systems

Hydrodynamics of a tandem fish school with asynchronous undulation of individuals

(2016) Muhammad Saif Ullah Khalid et al.   JOURNAL OF FLUIDS AND STRUCTURES

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Fish swimming in schools save energy regardless of their spatial position

(2014) Stefano Marras et al.   BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY

Leader–follower formation control of nonholonomic mobile robots with input constraints

(2008) Luca Consolini et al.   AUTOMATICA