A survey on multi-robot coverage path planning for model reconstruction and mapping
There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …
systems. This has been driven mainly by: the maturity of the practical deployment of a single …
Arc routing problems: A review of the past, present, and future
Arc routing problems (ARPs) are defined and introduced. Following a brief history of
developments in this area of research, different types of ARPs are described that are …
developments in this area of research, different types of ARPs are described that are …
Multidirectional prediction approach for dynamic multiobjective optimization problems
Various real-world multiobjective optimization problems are dynamic, requiring evolutionary
algorithms (EAs) to be able to rapidly track the moving Pareto front of an optimization …
algorithms (EAs) to be able to rapidly track the moving Pareto front of an optimization …
Real-time reentry trajectory planning of hypersonic vehicles: a two-step strategy incorporating fuzzy multiobjective transcription and deep neural network
A two-step strategy is developed for real-time trajectory planning of a hypersonic vehicle
(HV) in the reentry phase. The first step generates the optimal trajectory for the HV using a …
(HV) in the reentry phase. The first step generates the optimal trajectory for the HV using a …
Near-optimal area-coverage path planning of energy-constrained aerial robots with application in autonomous environmental monitoring
KR Jensen-Nau, T Hermans… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article describes a Voronoi-based path generation (VPG) algorithm for an energy-
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …
constrained mobile robot, such as an unmanned aerial vehicle (UAV). The algorithm solves …
A multimodel prediction method for dynamic multiobjective evolutionary optimization
M Rong, D Gong, W Pedrycz… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A large number of prediction strategies are specific to a dynamic multiobjective optimization
problem (DMOP) with only one type of the Pareto set (PS) change. However, a continuous …
problem (DMOP) with only one type of the Pareto set (PS) change. However, a continuous …
[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
Novel prediction strategies for dynamic multiobjective optimization
This paper proposes a new prediction-based dynamic multiobjective optimization (PBDMO)
method, which combines a new prediction-based reaction mechanism and a popular …
method, which combines a new prediction-based reaction mechanism and a popular …
A multi-robot coverage path planning method for maritime search and rescue using multiple AUVs
In this study, we focus on the Multi-robot Coverage Path Planning (MCPP) problem for
maritime Search And Rescue (SAR) missions using a multiple Autonomous Underwater …
maritime Search And Rescue (SAR) missions using a multiple Autonomous Underwater …
Semi-global output consensus for discrete-time switching networked systems subject to input saturation and external disturbances
H Su, Y Ye, Y Qiu, Y Cao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The semi-global output consensus problem for multiagent systems depicted by discrete-time
dynamics subject to external disturbances and input saturation over switching networks is …
dynamics subject to external disturbances and input saturation over switching networks is …