Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning-Reference-Cited by-同舟云学术

Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning

Published:2022-05-16 Issue:5 Volume:4 Page:480-493
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Yang Lidong^ORCID,Jiang Jialin,Gao Xiaojie^ORCID,Wang Qinglong,Dou Qi,Zhang Li^ORCID

Funder

CUHK Shun Hing Institute of Advanced Engineering

Innovation and Technology Commission

Croucher Foundation

The Multi-Scale Medical Robotics Center (MRC), InnoHK, at the Hong Kong Science Park; The SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

https://www.nature.com/articles/s42256-022-00482-8.pdf

Reference50 articles.

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3. Soria, E., Schiano, F. & Floreano, D. Predictive control of aerial swarms in cluttered environments. Nat. Mach. Intell. 3, 545–554 (2021).

4. Li, S. et al. Particle robotics based on statistical mechanics of loosely coupled components. Nature 567, 361–365 (2019).

5. Shahrokhi, S., Lin, L., Ertel, C., Wan, M. & Becker, A. T. Steering a swarm of particles using global inputs and swarm statistics. IEEE Trans. Robot. 34, 207–219 (2017).

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