This article discusses the use of adaptive control in the sonar scanning sector within an obstacle detection system, to improve the effectiveness of collision avoidance for autonomous underwater vehicles (AUVs).
Kot RafaĆ
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A path planning approach for ship collision avoidance integrating BRB reasoning and velocity obstacle algorithm. [PDF]
Zheng M, Wang S, Tu H, Lu Q.
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Advances in Optimized and Safe Path Planning of Marine Autonomous Surface Vehicles: A Review. [PDF]
Kou L, Gao X.
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AIS data-driven MAAC-Stackelberg multi-ship cooperative collision avoidance algorithm. [PDF]
Xu T, Wang T, Zhao J, Hu Q.
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A Multilayer Decision-Making Method for UAV Formation Cooperative Flight in Complex Urban Environments. [PDF]
Wang J, Yan D, Hao Y, Miao H.
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Reinforcement Learning-Driven Autonomous Path Planning for Unmanned Surface Vehicles: Current Status, Challenges, and Future Prospects. [PDF]
Dong Z +5 more
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Collision Prediction and Social-Norm-Fusion-Based Social-Navigation Method for Quadruped Robots. [PDF]
Bei J, Zhu Q, Shi Z, Liu Y.
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Quadratic programming-based autonomous cruise control of an intelligent tugboat. [PDF]
He H, Peng T, Li H, Huang D, Liu C.
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A Curriculum-Learning-Assisted MAPPO-Based Algorithm for Dynamic Spectrum Access and Anti-Jamming in UAV Swarms. [PDF]
Yuan X, Wen J.
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Bioinspired Spatio-Temporal Cooperative Path Planning for Heterogeneous UAVs Driven by Bi-Level Games: An SSA-MPC Fusion Approach. [PDF]
Yu Y, Le M.
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