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This paper formalizes path planning problem for a group of heterogeneous Dubins vehicles performing tasks in a remote fashion and develops a memetic algorithm-based method to effectively produce the paths. In the setting, the vehicles are…

多智能体系统 · 计算机科学 2018-08-09 Doo-Hyun Cho , Han-Lim Choi

This paper addresses path planning of an unmanned aerial vehicle (UAV) with remote sensing capabilities (or wireless communication capabilities). The goal of the path planning is to find a minimum-flight-time closed tour of the UAV visiting…

机器人学 · 计算机科学 2016-12-20 Dae-Sung Jang , Hyeok-Joo Chae , Han-Lim Choi

In this paper we address the optimal planning of autonomous teams for general purpose tasks including a wide spectrum of situations: from project management of human teams to the coordination of an automated assembly lines, focusing in the…

系统与控制 · 电气工程与系统科学 2024-11-07 Antonio Sojo , Iván Maza , Aníbal Ollero

This paper presents a new method for integrated time-optimal routing and trajectory optimization of multirotor unmanned aerial vehicles (UAVs). Our approach extends the well-known Traveling Salesman Problem by accounting for the limited…

机器人学 · 计算机科学 2022-12-01 Fabian Meyer , Katharina Glock

Over the past few years, unmanned aerial vehicles (UAV), also known as drones, have been adopted as part of a new logistic method in the commercial sector called "last-mile delivery". In this novel approach, they are deployed alongside…

人工智能 · 计算机科学 2018-01-03 Quang Minh Ha , Yves Deville , Quang Dung Pham , Minh Hoàng Hà

This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle--target pair. The vehicles incur a penalty…

机器人学 · 计算机科学 2018-07-30 Kaarthik Sundar , Saravanan Venkatachalam , Satyanarayana G. Manyam

Once known to be used exclusively in military domain, unmanned aerial vehicles (drones) have stepped up to become a part of new logistic method in commercial sector called "last-mile delivery". In this novel approach, small unmanned aerial…

人工智能 · 计算机科学 2018-01-03 Quang Minh Ha , Yves Deville , Quang Dung Pham , Minh Hoàng Hà

We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on…

机器人学 · 计算机科学 2017-09-20 Kevin Yu , Ashish Kumar Budhiraja , Pratap Tokekar

In this article, we address aquatic environmental monitoring using a fleet of unmanned surface vehicles (USVs). Specifically, we develop an online path generator that provides either circular or elliptic paths based on the real-time…

系统与控制 · 电气工程与系统科学 2025-06-13 Yo Toyomoto , Toshiyuki Oshima , Kosei Oishi , José M. Maestre , Takeshi Hatanaka

This paper proposes a formulation of the Active Debris Removal (ADR) Mission Design problem as a modified Time-Dependent Traveling Salesman Problem (TDTSP). The TDTSP is a well-known combinatorial optimization problem, whose solution is the…

最优化与控制 · 数学 2019-09-24 Lorenzo Federici , Alessandro Zavoli , Guido Colasurdo

In large scale coverage operations, such as marine exploration or aerial monitoring, single robot approaches are not ideal, as they may take too long to cover a large area. In such scenarios, multi-robot approaches are preferable.…

In this paper, we present an approach to optimizing the last-mile delivery route of a truck using coordination with unmanned aerial vehicles (UAVs). First, a traveling salesman problem is formulated to determine the truck's route. Then, a…

最优化与控制 · 数学 2019-03-13 Ben Remer , Andreas A. Malikopoulos

This paper proposes an algorithmic method to heuristically solve the famous Travelling Salesman Problem (TSP) when the salesman's path evolves in continuous state space and discrete time but with otherwise arbitrary (nonlinear) dynamics.…

最优化与控制 · 数学 2021-03-02 Alexander Weber , Alexander Knoll

Varying terrain conditions and limited field-of-view restricts the visibility of aerial robots while performing visual monitoring operations. In this paper, we study the multi-point monitoring problem on a 2.5D terrain using an unmanned…

机器人学 · 计算机科学 2019-03-19 Parikshit Maini , Suijt PB , Pratap Tokekar

In this article, we consider a multi-agent path planning problem in a stochastic environment. The environment, which can be an urban road network, is represented by a graph where the travel time for selected road segments (impeded edges) is…

To deal with the task assignment problem of multi-AUV systems under kinematic constraints, which means steering capability constraints for underactuated AUVs or other vehicles likely, an improved task assignment algorithm is proposed…

机器人学 · 计算机科学 2024-06-26 Xin Li , Wenyang Gan , Pang Wen , Daqi Zhu

This paper presents an integrated approach for efficient path planning and energy management in hybrid unmanned aerial vehicles (HUAVs) equipped with dual fuel-electric propulsion systems. These HUAVs operate in environments that include…

最优化与控制 · 数学 2025-05-27 Saurabh Belgaonkar , Deepak Prakash Kumar , Sivakumar Rathinam , Swaroop Darbha , Trevor Bihl

In this paper, we study an unmanned aerial vehicle(UAV)-enabled wireless sensor network, where a UAV is dispatched to collect the sensed data from distributed sensor nodes (SNs) for estimating an unknown parameter. It is revealed that in…

信息论 · 计算机科学 2018-05-14 Cheng Zhan , Yong Zeng , Rui Zhang

In this paper, we consider a new unmanned aerial vehicle (UAV)-assisted oblique image acquisition system where a UAV is dispatched to take images of multiple ground targets (GTs). To study the three-dimensional (3D) UAV trajectory design…

多媒体 · 计算机科学 2022-12-27 Xiao-Wei Tang , Shuowen Zhang , Changsheng You , Xin-Lin Huang , Rui Zhang

This work develops feasible path trajectories for a coordinated strike with multiple aircraft in a constrained environment. Using direct orthogonal collocation methods, the two-point boundary value optimal control problem is transcribed…

最优化与控制 · 数学 2023-03-31 Michael D. Zollars , David J. Grymin , Isaac E. Weintraub
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