Optimal Containment Control of Multiple Quadrotors via Reinforcement Learning<sup>*</sup>-Reference-Cited by-同舟云学术

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Optimal Containment Control of Multiple Quadrotors via Reinforcement Learning^*

Published:2024-05-13 Issue: Volume: Page:2632-2637
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Cheng Ming¹,Liu Hao²,Liu Deyuan³,Gu Haibo³,Wang Xiangke⁴

Affiliation:

1. Beihang University,School of Astronautics,Beijing,China,100191

2. Beihang University,Institute of Artificial Intelligence,Beijing,China

3. Beihang University,School of Automation Science and Electrical Engineering,Beijing,China,100191

4. National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China,410073

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611262.pdf?arnumber=10611262

Reference21 articles.

1. Route Optimization in Precision Agriculture Settings: A Multi-Steiner TSP Formulation

2. Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness

3. Stochastic Task Scheduling in UAV-Based Intelligent On-Demand Meal Delivery System

4. Cooperative Bipartite Containment Control for Multiagent Systems Based on Adaptive Distributed Observer

5. Formation-containment tracking for general linear multi-agent systems with a tracking-leader of unknown control input

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