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This paper studies coordinated trajectory planning and tracking control for multiple unmanned surface vessels (USVs) under strict privacy requirements. To avoid the privacy risks associated with direct position sharing in conventional…

最优化与控制 · 数学 2026-03-24 Jingyi Zhao , Wenxuan Wang , Weijun Zhou , Yongxin Wu , Yuhu Wu , Yann Le Gorrec

Landing a multirotor unmanned aerial vehicle (UAV) on an uncrewed surface vessel (USV) extends the operational range and offers recharging capabilities for maritime and limnology applications, such as search-and-rescue and environmental…

机器人学 · 计算机科学 2024-10-30 Jess Stephenson , William S. Stewart , Melissa Greeff

This paper presents contributions on nonlinear tracking control systems for a quadrotor unmanned micro aerial vehicle. New controllers are proposed based on nonlinear surfaces composed by tracking errors that evolve directly on the…

最优化与控制 · 数学 2018-11-13 Michalis Ramp , Evangelos Papadopoulos

This letter addresses the problem of trajectory planning in a marsupial robotic system consisting of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) through a non-taut tether withcontrollable length. To the best…

机器人学 · 计算机科学 2023-07-26 S. Mart/'inez-Rozas , D. Alejo , F. Caballero , L. Merino

Deploying self-navigating surface vessels in inland waterways offers a sustainable alternative to reduce road traffic congestion and emissions. However, navigating confined waterways presents unique challenges, including narrow channels,…

机器人学 · 计算机科学 2025-09-09 Sajad Ahmadi , Hossein Nejatbakhsh Esfahani , Javad Mohammadpour Velni

This paper proposes vehicle motion planning methods with obstacle avoidance in tight spaces by incorporating polygonal approximations of both the vehicle and obstacles into a model predictive control (MPC) framework. Representing these…

机器人学 · 计算机科学 2025-05-09 Haruki Kojima , Kohei Honda , Hiroyuki Okuda , Tatsuya Suzuki

This paper presents an adaptive coverage control method for a fleet of off-road and Unmanned Ground Vehicles (UGVs) operating in dynamic (time-varying) agricultural environments. Traditional coverage control approaches often assume static…

机器人学 · 计算机科学 2025-09-09 Sajad Ahmadi , Mohammadreza Davoodi , Javad Mohammadpour Velni

The paper proposes a novel Economic Model Predictive Control (EMPC) scheme for Autonomous Surface Vehicles (ASVs) to simultaneously address path following accuracy and energy constraints under environmental disturbances. By formulating…

系统与控制 · 电气工程与系统科学 2025-03-11 Zhongqi Deng , Yuan Wang , Jian Huang , Hui Zhang , Yaonan Wang

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…

In unstructured urban canals, regulation-aware interactions with other vessels are essential for collision avoidance and social compliance. In this paper, we propose a regulations aware motion planning framework for Autonomous Surface…

机器人学 · 计算机科学 2023-01-20 Jitske de Vries , Elia Trevisan , Jules van der Toorn , Tuhin Das , Bruno Brito , Javier Alonso-Mora

This paper proposes a sliding mode controller with smooth control effort for a class of nonlinear plants. The proposed controller is created by allowing some constant parameters of the earlier smooth sliding control (SSC) to vary as a…

系统与控制 · 电气工程与系统科学 2023-10-31 Alessandro Jacoud Peixoto , Wenderson G. Serrantola , Fernando Lizarralde

Controlling complex tasks in robotic systems, such as circular motion for cleaning or following curvy lines, can be dealt with using nonlinear vector fields. In this paper, we introduce a novel approach called rotational obstacle avoidance…

机器人学 · 计算机科学 2023-06-29 Lukas Huber , Jean-Jacques Slotine , Aude Billard

In this study, we are concerned with autonomous driving missions when a static obstacle blocks a given reference trajectory. To provide a realistic control design, we employ a model predictive control (MPC) utilizing nonlinear state-space…

系统与控制 · 电气工程与系统科学 2023-07-13 Maryam Nezami , Dimitrios S. Karachalios , Georg Schildbach , Hossam S. Abbas

Trajectory planning in dense, interactive traffic scenarios presents significant challenges for autonomous vehicles, primarily due to the uncertainty of human driver behavior and the non-convex nature of collision avoidance constraints.…

系统与控制 · 电气工程与系统科学 2025-10-30 Erik Börve , Nikolce Murgovski , Leo Laine

Unmanned Surface Vehicles technology (USVs) is an exciting topic that essentially deploys an algorithm to safely and efficiently performs a mission. Although reinforcement learning is a well-known approach to modeling such a task,…

机器学习 · 计算机科学 2020-03-24 Mohammad Etemad , Nader Zare , Mahtab Sarvmaili , Amilcar Soares , Bruno Brandoli Machado , Stan Matwin

Formation and collision avoidance abilities are essential for multi-agent systems. Conventional methods usually require a central controller and global information to achieve collaboration, which is impractical in an unknown environment. In…

机器人学 · 计算机科学 2021-10-26 Xinyou Qiu , Xiaoxiang Li , Jian Wang , Yu Wang , Yuan Shen

Existing intelligent driving technology often has a problem in balancing smooth driving and fast obstacle avoidance, especially when the vehicle is in a non-structural environment, and is prone to instability in emergency situations.…

机器人学 · 计算机科学 2022-08-02 Yitian Wang , Jun Lin , Liu Zhang , Tianhao Wang , Hao Xu , Guanyu Zhang , Yang Liu

In this paper a geometric approach to the trajectory tracking control of Unmanned Aerial Vehicles with thrust vectoring capabilities is proposed. The control design is suitable for aerial systems that allow to effectively decouple position…

最优化与控制 · 数学 2017-03-21 Davide Invernizzi , Marco Lovera

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

This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more unmanned aerial vehicles (UAVs) operating on an uncertain road network with potentially…

机器人学 · 计算机科学 2026-04-29 Ninh Nguyen , Srinivas Akella