Results 81 to 90 of about 460 (124)

A Real-Time Reaction Obstacle Avoidance Algorithm for Autonomous Underwater Vehicles in Unknown Environments. [PDF]

Sensors (Basel), 2018
Yan Z, Li J, Zhang G, Wu Y.
europepmc   +1 more source

Explorer1000: A Long Endurance AUV with Variable Ballast Systems

, 2018
With multi-driven mode including rudder, propeller and variable ballast systems (VBSs), Explorer1000 is designed as a long-endurance Autonomous Underwater Vehicle (AUV) by Shenyang Institute of Automation (SIA), Chinese Academy of Sciences.
Liu TJ(刘铁军), Jiang ZB(姜志斌), Li S(李硕)   +2 more
core  

Output Feedback Integrated Guidance and Control Design for Autonomous Underwater Vehicles Against Maneuvering Targets. [PDF]

Sensors (Basel)
Wang R, Lu J, Lyu S, Liu Y, Cui Y.
europepmc   +1 more source

Energy-Efficient Data Collection Using Autonomous Underwater Glider: A Reinforcement Learning Formulation. [PDF]

Sensors (Basel), 2020
Li X, Xu X, Yan L, Zhao H, Zhang T.
europepmc   +1 more source

Linear control of the yaw and rudder limitations

This work presents a detailed situation about the linear control design for the yaw in the Cormoran autonomous underwater vehicle (auv). The development includes the physical limitations of the rudder that involve more constraints for the control.
Masmitjà Rusiñol, Ivan, González Agudelo, Julián, Gomáriz Castro, Spartacus   +2 more
core  

Cascaded guidance, state estimation, and control for depth tracking of underactuated autonomous underwater vehicles. [PDF]

Commun Eng
Qu Y, Zhang Q, Xiang X, Yang S, Cai L.
europepmc   +1 more source

Reinforcement Learning-Driven Autonomous Path Planning for Unmanned Surface Vehicles: Current Status, Challenges, and Future Prospects. [PDF]

Sensors (Basel)
Dong Z, Zheng J, Guo C, Zhao F, Chu Y, Chen X.   +5 more
europepmc   +1 more source

A Predictive Guidance Obstacle Avoidance Algorithm for AUV in Unknown Environments. [PDF]

Sensors (Basel), 2019
Li J, Zhang J, Zhang H, Yan Z.
europepmc   +1 more source

Eliciting expert judgment on the probability of Loss of an AUV operating in four environments [PDF]

, 2008
Brito, M.P., Griffiths, G., Trembranis, A.   +2 more
core  

Domain knowledge embedded anti-disturbance autonomous navigation for marine vehicles. [PDF]

Commun Eng
Zhao Y, Ma Y, Zhu G, Hu S, Wang W, Yan X.   +5 more
europepmc   +1 more source