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This paper addresses the cooperative maneuvering target-enclosing problem for multiple autonomous underwater vehicles (AUVs) under time-critical constraints.
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This paper solves solve the problems of velocity and acceleration limitations and input saturation faced by the precise tracking control of unmanned underwater vehicles (UUVs) in practical engineering.
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This paper solves the distributed three-dimensional formation pattern maneuvering transformation problem for multiple autonomous underwater vehicles in the presence of the time-varying communication delays.
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This paper is about the Large-Small Model Synergy for Multi-AUV Area Protection Game
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This paper is about the Distributed 3-D Affine Formation Maneuver Control for Multiple AUVs With Active Communication Delays Compensation Mechanism
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This paper is about the Practical prescribed-time tracking control for nonlinear systems with prescribed transient performance
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这篇文章是关于基于仿射变换的多UUV自适应队形变换路径规划方法
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This paper is about the Attention-Guided and Role-Aware Reinforcement Learning for Multi-AUV Counter-Game
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This paper is about the Sim2Real Transfer for AUV Games via MADRL and Digital Twins
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This paper is about the Robust and fast trajectory tracking control of UUVs with external disturbances.
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基于深度强化学习的多水下目标拦截策略研究
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This paper is about the Scalable Multi-UUVs Collaborative Multi-Objective Area Protection Framework Using Multi-Task MADRL
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This paper is about the Adaptive AUV Hunting Strategy for High-Mobility Target with Hierarchical MADRL
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This paper is about the Distributed three-dimensional affine formation maneuver control for multiple autonomous underwater vehicles.
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This paper is about the Biomimetic Robotic Remora With Hitchhiking Ability: Design, Control and Experiment.
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This paper is about the Scalable Many-to-Many AUV Hunt-Evasion Game via MADRL with Phased Objectives.
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This paper is about the Obstacle Avoidance for a Large-Scale High-Speed Underactuated AUV in Complex Environments.
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This paper is about the Many-versus-Many UUV Attack-Defense Game in 3D Scenarios Using Hierarchical Multi-Agent Reinforcement Learning
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This paper is about the Adaptive Deep Reinforcement Learning Framework for UUV Attack-Defense Games.
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This paper solves the distributed prescribed-time affine formation security control problem for multiple autonomous underwater vehicles under deception attacks.
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This paper is about the Fast and Accurate Trajectory Tracking Control for Underactuated AUVs with Mismatched Disturbances: Theory and Experiment.
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This paper is about the High-Speed Obstacle Avoidance of a Large-scale Underactuated Autonomous Underwater Vehicle under a Finite Field of View.