Results 31 to 40 of about 180,772 (296)
Journal of Molecular Biology, 2015 Flagella propel bacteria during both swimming and swarming, dispersing them widely. However, while swimming bacteria use chemotaxis to find nutrients and avoid toxic environments, swarming bacteria appear to suppress chemotaxis and to use the dynamics of their collective motion to continuously expand and acquire new territory, barrel through lethal ...
Rasika M, Harshey, Jonathan D, Partridge
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A Novel Paradigm for Underwater Monitoring Using Mobile Sensor Networks
Sensors, 2020 This paper presents a novel autonomous environmental monitoring methodology based on collaboration and collective decision-making among robotic agents in a heterogeneous swarm developed within the project subCULTron, tested in a realistic marine ...
Anja Babić +6 more
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Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process
Sensors, 2023 The rapid advancement and increasing number of applications of Unmanned Aerial Vehicle (UAV) swarm systems have garnered significant attention in recent years.
Abhishek Phadke +3 more
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DronesQuadrotor motion planning in cluttered environments presents significant challenges in achieving both computational efficiency and trajectory smoothness, particularly in low-altitude economy and intelligent energy system applications where autonomous ...
Xiaoming Mai +3 more
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Creativity and Autonomy in Swarm Intelligence Systems [PDF]
, 2012 This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (
Bishop, Mark (J. M.) +3 more
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A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints
Frontiers in Robotics and AI, 2020 This work presents a review and discussion of the challenges that must be solved in order to successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations.
Mario Coppola +4 more
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Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
Sensors, 2023 This paper summarizes in depth the state of the art of aerial swarms, covering both classical and new reinforcement-learning-based approaches for their management.
Raúl Arranz +4 more
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A self-learning particle swarm optimizer for global optimization problems [PDF]
, 2011 Copyright @ 2011 IEEE. All Rights Reserved. This article was made available through the Brunel Open Access Publishing Fund.Particle swarm optimization (PSO) has been shown as an effective tool for solving global optimization problems.
Yang, S +8 more
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地球与行星物理论评, 2021 In this paper, based on the observation data of the SWARM satellites, the disturbance of magnetic field and plasma recorded by two satellites are extracted and studied by differential, Fourier analysis, Wavelet transform and other algorithms.
Xiaohui Du, Xuemin Zhang
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Orthogonal learning particle swarm optimization [PDF]
, 2010 Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan +7 more
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