Cargando…
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...
Autores principales: | Wang, Ruilong, Wang, Ming, Zhang, Yiyang, Zhao, Qianchuan, Zheng, Xuehan, Gao, He |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
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 |
Ejemplares similares
-
LQR Control and Optimization for Trajectory Tracking of Biomimetic Robotic Fish Based on Unreal Engine
por: Wang, Ming, et al.
Publicado: (2023) -
A Path-Planning Method Based on Improved Soft Actor-Critic Algorithm for Mobile Robots
por: Zhao, Tinglong, et al.
Publicado: (2023) -
Formation Tracking Control and Obstacle Avoidance of Unicycle-Type Robots Guaranteeing Continuous Velocities
por: Martinez, Jose Bernardo, et al.
Publicado: (2021) -
Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the Driver’s Operation Characteristics
por: Sun, Qinyu, et al.
Publicado: (2020) -
Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots
por: Kelasidi, Eleni, et al.
Publicado: (2019)