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Fixed-wind unmanned aerial vehicles (UAVs) are essential for low cost aerial surveillance and mapping applications in remote regions. One of the main limitations of UAVs is limited fuel capacity and hence requires periodic refueling to…

最优化与控制 · 数学 2016-12-21 Alessandro Rucco , PB Sujit , Pedro Aguiar , Joao Sousa , Fernando Pereira

The movement of cooperative robots in a densely cluttered environment may not be possible if the formation type is invariant. Hence, we investigate a new method for time-varying formation control for a group of heterogeneous autonomous…

多智能体系统 · 计算机科学 2021-12-01 Vu Phi Tran , Matthew Garratt , Ian R. Petersen

Coordination of connected and automated vehicles (CAVs) in a mixed traffic environment poses significant challenges due to the presence of human-driven vehicles (HDVs) with stochastic dynamics and driving behavior. In earlier work, we…

最优化与控制 · 数学 2022-06-14 A M Ishtiaque Mahbub , Andreas A. Malikopoulos

In this paper, we present a novel decentralized controller to drive multiple unmanned aerial vehicles (UAVs) into a symmetric formation of regular polygon shape surrounding a mobile target. The proposed controller works for time-varying…

系统与控制 · 计算机科学 2017-09-06 Rajdeep Dutta , Chunjiang Qian , Liang Sun , Daniel Pack

Reach-avoid specifications are one of the most common tasks in autonomous aerial vehicle (UAV) applications. Despite the intensive research and development associated with control of aerial vehicles, generating feasible trajectories though…

系统与控制 · 电气工程与系统科学 2024-06-03 Mohamed Serry , Haocheng Chang , Jun Liu

In this paper, a novel design scheme is introduced to solve the optimal control problem for nonlinear systems with unsymmetrical and state-dependent input constraints. By introducing an initial stabilizing control policy as the baseline of…

系统与控制 · 电气工程与系统科学 2022-11-18 Yangguang Yu , Xiangke Wang , Zhiyong Sun , Lincheng Shen

This paper provides a solution to the problem of safe region formation control with reference velocity tracking for a second-order multi-agent system without velocity measurements. Safe region formation control is a control problem where…

多智能体系统 · 计算机科学 2023-10-17 Ayush Rai , Shaoshuai Mou

We consider the problem of optimizing the trajectory of an Unmanned Aerial Vehicle (UAV). Assuming a traffic intensity map of users to be served, the UAV must travel from a given initial location to a final position within a given duration…

最优化与控制 · 数学 2021-02-05 Marceau Coupechoux , Jérôme Darbon , Jean-Marc Kélif , Marc Sigelle

For drones, as safety-critical systems, there is an increasing need for onboard detect & avoid (DAA) technology i) to see, sense or detect conflicting traffic or imminent non-cooperative threats due to their high mobility with multiple…

This article presents a novel coordination and task-planning framework to enable the simultaneous conflict-free collaboration of multiple unmanned aerial vehicles (UAVs) for aerial 3D printing. The proposed framework formulates an…

机器人学 · 计算机科学 2025-12-08 Marios-Nektarios Stamatopoulos , Shridhar Velhal , Avijit Banerjee , George Nikolakopoulos

Collision-free path planning is the most crucial component in multi-UAV formation-flying (MFF). We use unlabeled homogenous quadcopters (UAVs) to demonstrate the use of a flow network to create complete (inter-UAV) collision-free paths.…

The high mobility of unmanned aerial vehicles (UAVs) enables them to be used in various civilian fields, such as rescue and cargo transport. Path-following is a crucial way to perform these tasks while sensing and collision avoidance are…

系统与控制 · 电气工程与系统科学 2025-09-01 Changheng Wang , Zhiqing Wei , Wangjun Jiang , Haoyue Jiang , Zhiyong Feng

This paper proposes a systematic solution that uses an unmanned aerial vehicle (UAV) to aggressively and safely track an agile target. The solution properly handles the challenging situations where the intent of the target and the dense…

机器人学 · 计算机科学 2020-11-10 Zhichao Han , Ruibin Zhang , Neng Pan , Chao Xu , Fei Gao

We address the optimal dynamic formation problem in mobile leader-follower networks where an optimal formation is generated to maximize a given objective function while continuously preserving connectivity. We show that in a convex mission…

最优化与控制 · 数学 2015-08-20 Xinmiao Sun , Christos G. Cassandras

Micro aerial vehicles (MAVs), are frequently used for exploration, examination, and surveillance during search and rescue missions. Manually piloting these robots under stressful conditions provokes pilot errors and can result in crashes…

机器人学 · 计算机科学 2020-11-04 Marius Beul , Sven Behnke

Gliding offers small fixed-wing UAVs extended endurance and silent operation but requires accurate energy management, especially under wind disturbances and obstacle constraints. Traditional Total Energy Control Systems based controllers…

机器人学 · 计算机科学 2026-05-18 Luca Morando , Nishanth Bobbili , Giuseppe Loianno

This paper considers how to ensure that a system of fixed wing Unmanned Aerial Vehicles (UAVs) can avoid collisions. To do so we develop a novel method for creating a barrier function, which is similar to a Lyapunov function and can be used…

机器人学 · 计算机科学 2021-07-22 Eric Squires , Pietro Pierpaoli , Rohit Konda , Samuel Coogan , Magnus Egerstedt

This paper studies the formation mission design problem for commercial aircraft in the presence of uncertainties. Specifically, it considers uncertainties in the departure times of the aircraft and in the fuel burn savings for the trailing…

最优化与控制 · 数学 2024-07-03 María Cerezo-Magaña , Alberto Olivares , Ernesto Staffetti

Formation flight is when multiple objects fly together in a coordination. Various automatic control methods have been used for the autonomous execution of formation flight of aerial vehicles. In this paper, the capacity of the model…

机器人学 · 计算机科学 2023-12-05 Harun Celik , Dilara Kilinc

In this paper, we propose an efficient and accurate method for autonomous surface vehicles to generate a smooth and collision-free trajectory considering its dynamics constraints. We decouple the trajectory planning problem as a front-end…

机器人学 · 计算机科学 2020-10-02 Licheng Wen , Jiaqing Yan , Xuemeng Yang , Yong Liu , Yong Gu