Payload Transporting With Two Quadrotors by Centralized Reinforcement Learning Method

Nowadays, quadrotors find applications in automation and artificial intelligence. Among diverse quadrotor studies, payload transport stands out, posing implementation challenges. Using multiple quadrotors reduces per-quadrotor load while increasing system complexity. Inspired by model-free reinforce...

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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 60; číslo 1; s. 239 - 251
Hlavní autori:	Lin, Dasheng, Han, Jianda, Li, Kun, Zhang, Jianlei, Zhang, Chunyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Angular velocity Artificial intelligence Continuous action space continuous state space Machine learning Mathematical models Nonlinear control Payloads Quadrotors Reinforcement learning reinforcement learning (RL) Rotary wing aircraft Symbols Torque twin delayed deep deterministic policy gradient (TD3) two-quadrotor transporting payload system
ISSN:	0018-9251, 1557-9603
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