Region coverage-aware path planning for unmanned aerial vehicles: A systematic review
The use of unmanned aerial vehicles (UAVs) to carry out remote aerial surveys has become
prominent in recent years. The UAV-based survey faces several operational issues, such as …
prominent in recent years. The UAV-based survey faces several operational issues, such as …
A Survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments
Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …
although they are hazardous for humans given the presence of noxious gases, extreme …
Scalable coverage path planning of multi-robot teams for monitoring non-convex areas
L Collins, P Ghassemi, ET Esfahani… - … on Robotics and …, 2021 - ieeexplore.ieee.org
This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …
A bayesian optimization approach for water resources monitoring through an autonomous surface vehicle: The ypacarai lake case study
Bayesian Optimization is a sequential method for obtaining the maximum of an unknown
function that has gained much popularity in recent years. Bayesian Optimization is …
function that has gained much popularity in recent years. Bayesian Optimization is …
Coverage path planning based on the optimization strategy of multiple solar powered unmanned aerial vehicles
W Le, Z Xue, J Chen, Z Zhang - Drones, 2022 - mdpi.com
In some specific conditions, UAVs are required to obtain comprehensive information of an
area or to operate in the area in an all-round way. In this case, the coverage path planning …
area or to operate in the area in an all-round way. In this case, the coverage path planning …
Robust task scheduling for heterogeneous robot teams under capability uncertainty
This article develops a stochastic programming framework for multiagent systems, where
task decomposition, assignment, and scheduling problems are simultaneously optimized …
task decomposition, assignment, and scheduling problems are simultaneously optimized …
Robust planning for persistent surveillance with energy-constrained UAVs and mobile charging stations
We consider persistent (long-horizon) surveillance over an environment by using energy-
constrained unmanned aerial vehicles (UAVs), which are supported by unmanned ground …
constrained unmanned aerial vehicles (UAVs), which are supported by unmanned ground …
Route optimization in precision agriculture settings: a multi-steiner TSP formulation
A Furchì, M Lippi, RF Carpio… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this work, we propose a route planning strategy for heterogeneous mobile robots in
Precision Agriculture (PA) settings. Given a set of agricultural tasks to be performed at …
Precision Agriculture (PA) settings. Given a set of agricultural tasks to be performed at …
Risk-aware recharging rendezvous for a collaborative team of uavs and ugvs
We introduce and investigate the recharging rendezvous problem for a collaborative team of
Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs), in which UAVs …
Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs), in which UAVs …
Risk-aware uav-ugv rendezvous with chance-constrained markov decision process
We study a chance-constrained variant of the cooperative aerial-ground vehicle routing
problem, in which an Unmanned Aerial Vehicle (UAV) with limited battery capacity and an …
problem, in which an Unmanned Aerial Vehicle (UAV) with limited battery capacity and an …