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相关论文: Trajectory planning for multiple autonomous underw…

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This paper presents a hybrid route-path planning model for an Autonomous Underwater Vehicle's task assignment and management while the AUV is operating through the variable littoral waters. Several prioritized tasks distributed in a large…

机器人学 · 计算机科学 2017-11-21 Somaiyeh Mahmoud. Zadeh , David M. W Powers , Karl Sammut , Amir Mehdi Yazdani , Adham Atyabi

An Autonomous Underwater Vehicle (AUV) should carry out complex tasks in a limited time interval. Since existing AUVs have limited battery capacity and restricted endurance, they should autonomously manage mission time and the resources to…

机器人学 · 计算机科学 2017-06-15 Somaiyeh Mahmoud. Zadeh

Motion control of underwater robotic vehicles is a demanding task with great challenges imposed by external disturbances, model uncertainties and constraints of the operating workspace. Thus, robust motion control is still an open issue for…

机器人学 · 计算机科学 2019-09-04 Shahab Heshmati-alamdari , Alexandros Nikou , Dimos V. Dimarogonas

When deploying autonomous systems in unknown and changing environments, it is critical that their motion planning and control algorithms are computationally efficient and can be reapplied online in real time, whilst providing theoretical…

系统与控制 · 电气工程与系统科学 2024-12-06 Seth Siriya , Mo Chen , Ye Pu

In this paper, a real-time quasi-optimal trajectory planning scheme is employed to guide an autonomous underwater vehicle (AUV) safely into a funnel-shape stationary docking station. By taking advantage of the direct method of calculus of…

机器人学 · 计算机科学 2016-05-04 Amir Mehdi Yazdani , Karl Sammut , Andrew Lammas , Youhong Tang

The motion planning and tracking control techniques of unmanned underwater vehicles (UUV) are fundamentally significant for efficient and robust UUV navigation, which is crucial for underwater rescue, facility maintenance, marine resource…

机器人学 · 计算机科学 2022-07-12 Danjie Zhu , Tao Yan , Simon X. Yang

Efficient trajectory generation in complex dynamic environments remains an open problem in the unmanned surface vehicle (USV). The perception of the USV is usually interfered with by the swing of the hull and the ambient weather, making it…

机器人学 · 计算机科学 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu

This work considers designing an unmanned target hunting system for a swarm of unmanned underwater vehicles (UUVs) to hunt a target with high maneuverability. Differential game theory is used to analyze combat policies of UUVs and the…

系统与控制 · 电气工程与系统科学 2022-02-02 Wei Wei , JingJing Wang , Jun Du , Zhengru Fang , Chunxiao Jiang , Yong Ren

The AUV three-dimension path planning in complex turbulent underwater environment is investigated in this research, in which static current map data and uncertain static-moving time variant obstacles are taken into account. Robustness of…

机器人学 · 计算机科学 2016-12-06 S. Mahmoud Zadeh , D. M. W. Powers , A. Yazdani , K. Sammut , A Atyabi

This paper presents a mission system and the therein implemented algorithms for path planning in a time-varying environment based on graph methods. The basic task of the introduced path planning algorithms is to find a time-optimal path…

机器人学 · 计算机科学 2020-08-06 Mike Eichhorn

We propose a safety-guaranteed planning and control framework for unmanned surface vessels (USVs), using Gaussian processes (GPs) to learn uncertainties. The uncertainties encountered by USVs, including external disturbances and model…

机器人学 · 计算机科学 2022-05-11 Shuhao Zhang , Yujia Yang , Seth Siriya , Ye Pu

This work in progress considers reachability-based safety analysis in the domain of autonomous driving in multi-agent systems. We formulate the safety problem for a car following scenario as a differential game and study how different…

系统与控制 · 电气工程与系统科学 2021-12-30 Gilbert Bahati , Marsalis Gibson , Alexandre Bayen

Autonomous Underwater Vehicles (AUVs) need to operate for days without human intervention and thus must be able to do efficient and reliable task planning. Unfortunately, efficient task planning requires deliberately abstract domain models…

Work zone navigation remains one of the most challenging manoeuvres for autonomous vehicles (AVs), where constrained geometries and unpredictable traffic patterns create a high-risk environment. Despite extensive research on AV trajectory…

多智能体系统 · 计算机科学 2026-03-23 Mayar Nour , Atrisha Sarkar , Mohamed H. Zaki

Navigating autonomous underwater vehicles (AUVs) in unknown environments is significantly challenging due to poor visibility, weak signal transmission, and dynamic water currents. These factors pose challenges in accurate global…

机器人学 · 计算机科学 2026-04-29 Veejay Karthik , Udit Ekansh , Tejal Bedmutha , Shivam Vishwakarma , Rohan Deshpande , Leena Vachhani

Autonomous underwater vehicles (AUVs) are valuable for ocean exploration due to their flexibility and ability to carry communication and detection units. Nevertheless, AUVs alone often face challenges in harsh and extreme sea conditions.…

机器人学 · 计算机科学 2025-01-14 Jingzehua Xu , Guanwen Xie , Xinqi Wang , Yimian Ding , Shuai Zhang

Unmanned aerial vehicle (UAV) use continues to increase, including operating beyond line of sight in unknown environments where the vehicle must autonomously generate a trajectory to safely navigate. In this article, we develop a trajectory…

最优化与控制 · 数学 2018-04-13 Kenan Cole , Adam Wickenheiser

The operation of an autonomous underwater vehicle (AUV) faces challenges in following predetermined waypoints due to coupled motions under environmental disturbances. To address this, a 3D path following guidance and control system is…

系统与控制 · 电气工程与系统科学 2024-09-30 Isah A. Jimoh , Hong Yue

Navigation underwater traditionally is done by keeping a safe distance from obstacles, resulting in "fly-overs" of the area of interest. Movement of an autonomous underwater vehicle (AUV) through a cluttered space, such as a shipwreck or a…

In the last decade, a great effort has been employed in the study of Hybrid Unmanned Aerial Underwater Vehicles, robots that can easily fly and dive into the water with different levels of mechanical adaptation. However, most of this…

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