|
|
|
|
|
Sarab AlMuhaideb, Ameur Touir, Reem Alshraihi, Najwa Altwaijry and Safwan Qasem
Flocking is one of the swarm tasks inspired by animal behavior. A flock involves multiple agents aiming to achieve a goal while maintaining certain characteristics of their formation. In nature, flocks vary in size. Although several studies have focused ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bin Wu, Jiewei Lin, Anshun Xie, Ning Wang, Guichang Zhang, Junhong Zhang and Huwei Dai
Bird strikes are a common, serious, and devastating event in aviation accidents, and multi-bird strikes are also frequently reported. A numerical multi-bird-strike simulation was performed to investigate the effect of flocking birds striking on engine bl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xingyu Liu, Chao Yan, Han Zhou, Yuan Chang, Xiaojia Xiang and Dengqing Tang
Flocking navigation and obstacle avoidance in complex environments remain challenging for multiple unmanned aerial vehicle (multi-UAV) systems, especially when only one UAV (termed as information UAV) knows the predetermined path and the communication ra...
ver más
|
|
|
|
|
|
|
|
|
|
|
Charles Coquet, Andreas Arnold and Pierre-Jean Bouvet
We describe and analyze the Local Charged Particle Swarm Optimization (LCPSO) algorithm, that we designed to solve the problem of tracking a moving target releasing scalar information in a constrained environment using a swarm of agents. This method is i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Jafari and Hao Xu
|
|
|
|
|
|
|
|
|
|
|
Mitsugu Hasegawa and Hirotaka Sakaue
-
|
|
|
|
|
|
|
|
|
|
|
Mohammad Jafari and Hao Xu
In this paper, a biologically-inspired distributed intelligent control methodology is proposed to overcome the challenges, i.e., networked imperfections and uncertainty from the environment and system, in networked multi-Unmanned Aircraft Systems (UAS) f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chen Wang, Dongliang Wang, Minqiang Gu, Huaxing Huang, Zhaojun Wang, Yutong Yuan, Xiaomin Zhu, Wu Wei and Zhun Fan
Inspired by the behaviour of animal populations in nature, we propose a novel exploration algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended to the swarm level using the APF method through the LF search enviro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dan Xu, Yunxiao Guo, Zhongyi Yu, Zhenfeng Wang, Rongze Lan, Runhao Zhao, Xinjia Xie and Han Long
Flocking for fixed-Wing Unmanned Aerial Vehicles (UAVs) is an extremely complex challenge due to fixed-wing UAV?s control problem and the system?s coordinate difficulty. Recently, flocking approaches based on reinforcement learning have attracted attenti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yibei Guo, Yijiang Pang, Joseph Lyons, Michael Lewis, Katia Sycara and Rui Liu
Due to the complexity of real-world deployments, a robot swarm is required to dynamically respond to tasks such as tracking multiple vehicles and continuously searching for victims. Frequent task assignments eliminate the need for system calibration time...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maíra Mucci, Natalia Pessoa Noyma, Leonardo de Magalhães, Marcela Miranda, ... Miquel Lürling
Pág. 121 - 130
Combining coagulant and ballast to remove cyanobacteria from the water column is a promising restoration technique to mitigate cyanobacterial nuisance in surface waters. The organic, biodegradable polymer chitosan has been promoted as a coagulant and is ...
ver más
|
|
|
|
|
|