The Design of Military Multifunctional Ground Unmanned Platform

Wu, Houping; Li, Wang; He, Zhangqiang; Zhou, Yang

doi:10.1007/978-981-32-9437-0_53

Cited by 3 publications

(3 citation statements)

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“…The online-net updates utilizing experience from the replay buffer, while the target-net each time updates a small portion of its own parameters from the online-net. For example, agent i's actor updates its target net parameters θ µ ′ i as equation (1).…”

Section: Maddpgmentioning

confidence: 99%

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An Unmanned Tank Combat Game Driven by FPSO-MADDPG Algorithm

Wang,

Liu,

Zhou

et al. 2024

Preprint

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With the development of artificial intelligence and unmanned technology, unmanned vehicles have also been applied to a variety of situations which may be hazardous to human beings, even in real battle fields. An intelligent unmanned vehicle can be aware of around situations and make appropriate responding decisions. In this paper, an FPSO-MADDPG framework is proposed for unmanned tanks, where multi-agent deep reinforcement learning algorithm is used in an unmanned tank game, and an improved particle swarm optimization (FPSO) algorithm is proposed to optimize key factors, like vehicle attitude and position. Simulation results show that our method not only can obtain higher winning rate, but also higher reward and faster convergence than other algorithms.

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Section: Maddpgmentioning

confidence: 99%

“…With the progress of science and technology, unmanned weapons, like UAV, UGV or USV, come to true. In 2016, Russia put forward uranus-9 [1] multi-functional unmanned combat vehicle to international market. In 2017, United States proposed the Next Generation Combat Vehicle (NGCV) [2].…”

Section: Introductionmentioning

confidence: 99%

An Unmanned Tank Combat Game Driven by FPSO-MADDPG Algorithm

Wang,

Liu,

Zhou

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…With the progress of science and technology, unmanned vehicles, like Unmanned Aerial Vehicle (UAV), Unmanned Ground Vehicles (UGV) or Unmanned Surface Vehicles (USV), come to true. In 2016, Russia put forward uranus-9 [1] multifunctional unmanned combat vehicle to international market. In 2017, United States proposed the Next Generation Combat Vehicle (NGCV) [2].…”

Section: Introductionmentioning

confidence: 99%

An unmanned tank combat game driven by FPSO-MADDPG algorithm

Wang,

Liu,

Zhou

et al. 2024

J Supercomput

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With the development of artificial intelligence and unmanned technology, unmanned vehicles have been utilized in a variety of situations which may be hazardous to human beings, even in real battle fields. An intelligent unmanned vehicle can be aware of surrounding situations and make appropriate responding decisions. For this purpose, this paper applies Multi-agent Deep Deterministic Policy Gradient (MADDPG) algorithm for vehicle’s of situation awareness and decision making, inside which a Fast Particle Swarm Optimization (FPSO) algorithm is proposed to calculate the optimal vehicle attitude and position; therefore, an improved deep reinforcement learning algorithm FPSO-MADPPG is formed. A specific advantage function is designed for the FPSO portion, which considers angle, distance, outflanking encirclement. A dedicated reward is designed for the MADPPG portion, which considers key factors like angle, distance, and damage. Finally, FPSO-MADPPG is then used in a combat game to operate unmanned tanks. Simulation results show that our method not only can obtain higher winning rate, but also higher reward and faster convergence than DDPG and MADPPG algorithms.

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Applying User-Centered Design to U.S. Military Acquisition Requests

Martin

2022

International Journal of Human–Computer Interaction

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The Design of Military Multifunctional Ground Unmanned Platform

Cited by 3 publications

References 0 publications

An Unmanned Tank Combat Game Driven by FPSO-MADDPG Algorithm

An Unmanned Tank Combat Game Driven by FPSO-MADDPG Algorithm

An unmanned tank combat game driven by FPSO-MADDPG algorithm

Applying User-Centered Design to U.S. Military Acquisition Requests

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