Trajectory Tracking and Obstacle Avoidance of Robotic Fish Based on Nonlinear Model Predictive Control

The attainment of accurate motion control for robotic fish inside intricate underwater environments continues to be a substantial obstacle within the realm of underwater robotics. This paper presents a proposed algorithm for trajectory tracking and obstacle avoidance planning in robotic fish, utiliz...

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Detalles Bibliográficos
Autores principales: Wang, Ruilong, Wang, Ming, Zhang, Yiyang, Zhao, Qianchuan, Zheng, Xuehan, Gao, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668960/
https://www.ncbi.nlm.nih.gov/pubmed/37999170
http://dx.doi.org/10.3390/biomimetics8070529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668960/
https://www.ncbi.nlm.nih.gov/pubmed/37999170
http://dx.doi.org/10.3390/biomimetics8070529

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