Idioma:

Path optimization for marine vehicles in ocean currents using reinforcement learning

Yoo, Byunghyun ; Kim, Jinwhan

Journal of marine science and technology, 2016-06, Vol.21 (2), p.334-343 [Periódico revisado por pares]

Tokyo: Springer Japan

Texto completo disponível

Citações Citado por

Enviar para

Título:
Path optimization for marine vehicles in ocean currents using reinforcement learning
Autor: Yoo, Byunghyun ; Kim, Jinwhan
Assuntos: Algorithms ; Analysis ; Artificial intelligence ; Automotive Engineering ; Data mining ; Disturbances ; Engineering ; Engineering Design ; Engineering Fluid Dynamics ; Learning ; Machine learning ; Marine ; Mechanical Engineering ; Naval engineering ; Ocean ; Ocean currents ; Offshore Engineering ; Optimization ; Original Article ; Reinforcement ; Ships ; Vehicles
É parte de: Journal of marine science and technology, 2016-06, Vol.21 (2), p.334-343
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: This study proposes a path planning algorithm for marine vehicles based on machine learning. The algorithm considers the dynamic characteristics of the vehicle and disturbance effects in ocean environments. The movements of marine vehicles are influenced by various physical disturbances in ocean environments, such as wind, waves, and currents. In the present study, the effects of ocean currents are the primary consideration. A kinematic model is used to incorporate the nonholonomic motion characteristics of a marine vehicle, and the reinforcement learning algorithm is used for path optimization to generate a feasible path that can be tracked by the vehicle. The proposed approach determines a near-optimal path that connects the start and goal points with a reasonable computational cost when the map and current field data are provided. To verify the optimality and validity of the proposed algorithm, a set of simulations were performed in simulated and actual ocean current conditions, and their results are presented.
Editor: Tokyo: Springer Japan
Idioma: Inglês

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Path optimization for marine vehicles in ocean currents using reinforcement learning

Yoo, Byunghyun ; Kim, Jinwhan

Tokyo: Springer Japan

Buscando em bases de dados remotas. Favor aguardar.