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This survey examines recent sensor-based planning and control methods for Unmanned Underwater Vehicles (UUVs). In complex, uncertain underwater environments, UUVs require advanced planning and control strategies for effective navigation.…

Tracking control has been a vital research topic in robotics. This paper presents a novel hybrid control strategy for an unmanned underwater vehicle (UUV) based on a bioinspired neural dynamics model. An enhanced backstepping kinematic…

机器人学 · 计算机科学 2022-09-07 Zhe Xu , Tao Yan , Simon X. Yang , S. Andrew Gadsden

Advances in hardware technology have enabled more integration of sophisticated software, triggering progress in the development and employment of Unmanned Vehicles (UVs), and mitigating restraints for onboard intelligence. As a result, UVs…

人工智能 · 计算机科学 2020-07-13 Adham Atyabi , Somaiyeh MahmoudZadeh , Samia Nefti-Meziani

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

Unmanned Aerial Vehicles (UAVs) are emerging as very important tools in search and rescue (SAR) missions at sea, enabling swift and efficient deployment for locating individuals or vessels in distress. The successful execution of these…

机器人学 · 计算机科学 2024-10-10 Martin Messmer , Andreas Zell

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

The exploration and sustainable use of marine environments have become increasingly critical as oceans cover over 70% of surface of Earth. This paper provides a comprehensive survey and classification of state-of-the-art underwater vehicles…

系统与控制 · 电气工程与系统科学 2024-12-30 Jiajie Xu , Xabier Irigoien , Mohamed-Slim Alouini

The underwater environment poses a complex problem for developing autonomous capabilities for Underwater Vehicle Manipulator Systems (UVMSs). The modeling of UVMSs is a complicated and costly process due to the highly nonlinear dynamics and…

机器人学 · 计算机科学 2021-09-22 James P. Oubre , Ignacio Carlucho , Corina Barbalata

Autonomous underwater vehicles (AUV) have become the de facto vehicle for remote operations involving oceanography, inspection, and monitoring tasks. These vehicles operate in different and often challenging environments; hence, the design…

系统与控制 · 电气工程与系统科学 2024-12-24 Rajini Makam , Pruthviraj Mane , Suresh Sundaram , P. B. Sujit

Self-driving vehicles are a maturing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportation. Safety-critical tasks that must be executed by a…

机器人学 · 计算机科学 2016-04-27 Brian Paden , Michal Cap , Sze Zheng Yong , Dmitry Yershov , Emilio Frazzoli

Micro unmanned aerial vehicles (mUAV) became very common in recent years. As a result of their widespread usage, when they are flown by hobbyists illegally, crucial risks are imposed and such mUAVs need to be sensed by security systems.…

计算机视觉与模式识别 · 计算机科学 2020-01-20 Fatih Gökçe

Advances in hardware technology have facilitated more integration of sophisticated software toward augmenting the development of Unmanned Vehicles (UVs) and mitigating constraints for onboard intelligence. As a result, UVs can operate in…

人工智能 · 计算机科学 2020-07-21 Somaiyeh MahmoudZadeh , David MW Powers , Reza Bairam Zadeh

Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, environmental monitoring, and maritime security. This paper…

With the rapid advancement of UAV technology and its extensive application in various fields such as military reconnaissance, environmental monitoring, and logistics, achieving efficient and accurate Anti-UAV tracking has become essential.…

计算机视觉与模式识别 · 计算机科学 2025-07-15 Guanghai Ding , Yihua Ren , Yuting Liu , Qijun Zhao , Shuiwang Li

Unmanned aerial vehicles (UAVs) have become very popular for many military and civilian applications including in agriculture, construction, mining, environmental monitoring, etc. A desirable feature for UAVs is the ability to navigate and…

机器人学 · 计算机科学 2021-11-02 Taha Elmokadem

This paper addresses the trajectory planning for multiple autonomous underwater vehicles (AUVs) in strong waves that can disturb the AUVs' trajectory tracking ability and cause obstacle and inter-vehicle collisions. A novel approach based…

系统与控制 · 电气工程与系统科学 2020-11-30 Shuhao Zhang , Yujia Yang , Seth Siriya , Ye Pu

Underwater vehicle-manipulator systems (UVMSs) are underwater robots equipped with one or more manipulators to perform intervention missions. This paper provides the mechanical, electrical, and software design of a novel UVMS equipped with…

机器人学 · 计算机科学 2024-08-27 Justin L. Sitler , Long Wang

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

Unmanned surface vessels (USVs) are widely used in ocean exploration and environmental protection fields. To ensure that USV can successfully perform its mission, trajectory planning and motion tracking are the two most critical…

机器人学 · 计算机科学 2022-09-08 Tao Huang , Zhenfeng Xue , Zhe Chen , Yong Liu
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