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An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment

, 2020
This paper presents an intelligent cooperative mission planning scheme for unmanned aerial vehicle (UAV) swarm, to search and attack the time-sensitive moving targets in uncertain dynamic environment, by using a hybrid artificial potential field and ant ...
Z. Zhen   +3 more
semanticscholar   +1 more source

Autonomous Path Planning via Sand Cat Swarm Optimization With Multistrategy Mechanism for Unmanned Aerial Vehicles in Dynamic Environment

IEEE Internet of Things Journal
Unmanned aerial vehicles (UAVs) face critical challenges in path planning in dynamic environment, requiring optimized flight paths that account for constraints such as obstacle avoidance, energy efficiency, and altitude limits.
Wu Deng, Jiayi Feng, Huimin Zhao
semanticscholar   +1 more source

Dynamic visioning for dynamic environments

Journal of the Operational Research Society, 1999
Summary: This article considers the particular challenges to organisations facing major change in turbulent times. It briefly reviews the use of visioning tools, especially scenario planning, to support the process of developing strategies requiring major change, and the communication of these plans to key employees.
openaire   +1 more source

Dynamic Coalitions Formation in Dynamic Uncertain Environments

2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015
This study presents a novel solution to agent coalition formation. It focuses on heterogeneous, distributed multi-agent systems deployed in real-world environments. Specifically, we study dynamic, uncertain environments in which tasks may evolve during execution, and agents and resource availability may vary rapidly and unpredictably. We refer to cases
Pascal Francois Faye   +3 more
openaire   +1 more source

Environment prediction for a mobile robot in a dynamic environment

IEEE Transactions on Robotics and Automation, 1997
The problem of navigating a mobile robot among moving obstacles is usually solved on the condition of knowing the velocity of obstacles. However, it is difficult to provide such information to a robot in real time. In this paper, we present an environment predictor that provides an estimate of future environment configuration by fusing multisensor data
Charles C. Chang, Kai-Tai Song
openaire   +1 more source

Cooperative control for swarming systems based on reinforcement learning in unknown dynamic environment

Neurocomputing, 2020
This paper discussed the cooperative control problem for swarming systems in unknown dynamic environment. The swarm agents are required to move in a completely distributed manner with the reference trajectory determined by a virtual dynamic leader.
Xuejing Lan, Yiwen Liu, Zhijia Zhao
semanticscholar   +1 more source

Radiosity redistribution for dynamic environments

IEEE Computer Graphics and Applications, 1990
The radiosity algorithm is extended to dynamic environments, providing global-illumination simulations to scenes that are modified interactively. The illumination effects introduced by a change in position, shape, or attributes of any object in the scene are computed very rapidly by redistributing the energy already exchanged between objects ...
David W. George   +2 more
openaire   +1 more source

Channel Estimation Method Based on Transformer in High Dynamic Environment

International Conference on Wireless Communications and Signal Processing, 2020
As the relative movement speeds of the communication parties increase, the Doppler frequency offset gradually increases, and the speed of channel state information(CSI) change also increases, which limits the performance of traditional channel estimation
Zhuolin Chen, Fang-lin Gu, Rui Jiang
semanticscholar   +1 more source

Efficient deployment of multiple UAVs for iot communication in dynamic environment

China Communications, 2020
The application of unmanned aerial vehicle (UAV)-mounted base stations is emerging as an effective solution to provide wireless communication service for a target region containing some smart objects (SOs) in internet of things (IoT).
Haibo Dai   +3 more
semanticscholar   +1 more source

Cooperative Multi-Robot Navigation in Dynamic Environment with Deep Reinforcement Learning

IEEE International Conference on Robotics and Automation, 2020
The challenges of multi-robot navigation in dynamic environments lie in uncertainties in obstacle complexities, partially observation of robots, and policy implementation from simulations to the real world.
Ruihua Han, Shengduo Chen, Qi Hao
semanticscholar   +1 more source

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