Learning Efficient Navigation in Vortical Flow Fields

21 February 2021

Papers citing "Learning Efficient Navigation in Vortical Flow Fields"

22 / 22 papers shown

Title
A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows Selim Mecanna Aurore Loisy Christophe Eloy 19 0 0 08 May 2025
Multimodal Policies with Physics-informed Representations Haodong Feng Peiyan Hu Yue Wang Dixia Fan PINN AI4CE 11 0 0 20 Oct 2024
Navigation in a simplified Urban Flow through Deep Reinforcement Learning Federica Tonti Jean Rabault Ricardo Vinuesa 11 3 0 26 Sep 2024
Efficient Navigation of a Robotic Fish Swimming Across the Vortical Flow Field Haodong Feng Dehan Yuan Jiale Miao Jie You Yue Wang Yi Zhu Dixia Fan 31 2 0 23 May 2024
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice Yusheng Jiao Feng Ling Sina Heydari N. Heess J. Merel Eva Kanso 26 0 0 19 May 2024
Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence Michael Chertkov AI4CE 30 2 0 26 Mar 2024
Fish-inspired tracking of underwater turbulent plumes Peter Gunnarson J. Dabiri 16 4 0 10 Mar 2024
Training microrobots to swim by a large language model Zhuoqun Xu Lailai Zhu 28 3 0 21 Jan 2024
Deep-learning-powered data analysis in plankton ecology Harshith Bachimanchi Matthew I. M. Pinder Chloé Robert Pierre De Wit Jonathan Havenhand Alexandra Kinnby Daniel Midtvedt Erik Selander Giovanni Volpe 16 2 0 15 Sep 2023
Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction Megan R. Ebers Jan P. Williams K. Steele J. Nathan Kutz HAI 10 9 0 20 Jul 2023
Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents Matthias Killer Marius Wiggert Hanna Krasowski M. Doshi Pierre FJ Lermusiaux Claire Tomlin 13 2 0 04 Jul 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning Daniel Waelchli Pascal Weber P. Koumoutsakos AI4CE 9 4 0 17 May 2023
A Platform-Agnostic Deep Reinforcement Learning Framework for Effective Sim2Real Transfer in Autonomous Driving Dian-Tao Li Ostap Okhrin 14 3 0 14 Apr 2023
Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning K. Krishna Steven L. Brunton Zhuoyuan Song 17 8 0 06 Apr 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 13 68 0 28 Mar 2023
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles Ivan Masmitja Mario Martin K. Katija S. Gomáriz J. Navarro 14 4 0 17 Jan 2023
Learning to swim efficiently in a nonuniform flow field Krongtum Sankaewtong John J. Molina M. Turner R. Yamamoto 17 3 0 22 Dec 2022
Chemotaxis of sea urchin sperm cells through deep reinforcement learning Chaojie Mo Xinyu Bian 23 3 0 02 Aug 2022
Swarm Modelling with Dynamic Mode Decomposition Emma Hansen Steven L. Brunton Zhuoyuan Song 16 8 0 08 Apr 2022
Dynamic Compressed Sensing of Unsteady Flows with a Mobile Robot Sachin Shriwastav Gregory F. Snyder Zhuoyuan Song 11 4 0 16 Oct 2021
Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows K. Krishna Zhuoyuan Song Steven L. Brunton 11 17 0 18 Mar 2021
Flow Navigation by Smart Microswimmers via Reinforcement Learning S. Colabrese K. Gustavsson A. Celani Luca Biferale 31 156 0 30 Jan 2017