A Reinforcement Learning Approach to Find Optimal Propulsion Strategy for Microrobots Swimming at Low Reynolds Number-Reference-Cited by-同舟云学术

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A Reinforcement Learning Approach to Find Optimal Propulsion Strategy for Microrobots Swimming at Low Reynolds Number

Published:2024-05 Issue: Volume:175 Page:104659
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Jebellat Iman,Jebellat Ehsan,Amiri-Margavi Alireza^ORCID,Vahidi-Moghaddam Amin^ORCID,Nejat Pishkenari Hossein

Publisher

Elsevier BV

Reference78 articles.

1. Machine learning strategies for path-planning microswimmers in turbulent flows;Alageshan;Physical Review E,2020

2. Flow navigation by smart microswimmers via reinforcement learning;Colabrese;Physical review letters,2017

3. Roads to smart artificial microswimmers;Tsang;Advanced Intelligent Systems,2020

4. Bacterial hydrodynamics;Lauga;Annual Review of Fluid Mechanics,2016

5. Sperm motility: models for dynamic behavior in complex environments;Simons;Cell movement,2018

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1. A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management;Information Fusion;2024-08

2. Magnetic Microrobots for In Vivo Cargo Delivery: A Review;Micromachines;2024-05-20

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