Results 1 to 10 of about 95,876 (178)
Generative Art with Swarm Landscapes [PDF]
Entropy, 2020 We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function.
Diogo de Andrade +3 more
doaj +3 more sources
Controllable Swarm Animation Using Deep Reinforcement Learning With a Rule-Based Action Generator
IEEE Access, 2022 The swarm behavior in nature is a fascinating and complex phenomenon that has been studied extensively for decades. Visually natural swarm animation can be produced by the state-of-the-art rule-based method; however, it still suffers from the drawbacks ...
Zong-Sheng Wang +4 more
doaj +1 more source
Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
Cognitive Robotics, 2023 Robots such as drones, ground rovers, underwater vehicles and industrial robots have increased in popularity in recent years. Many sectors have benefited from this by increasing productivity while also decreasing costs and certain risks to humans.
Marc-Andrė Blais, Moulay A. Akhloufi
doaj +1 more source
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
doaj +1 more source
Merging the fields of swarm robotics and new media: Perceiving swarm robotics as new media [PDF]
Maejo International Journal of Science and Technology, 2014 The aim of this paper is to provide evidence that swarm robotic systems can be perceived as new media objects. A thorough description of the five principles of new media proposed by Lev Manovich in “The Language of New Media” is presented.
Monika O. Ivanova +2 more
doaj +1 more source
SwarmArt: Interactive Art from Swarm Intelligence [PDF]
Leonardo, 2007 Swarms of bees, colonies of ants, schools of fish, flocks of birds, and fireflies flashing synchronously are all examples of highly coordinated behaviors that emerge from collective, decentralized intelligence. Local interactions among a multitude of agents or “swarmettes” lead to a variety of dynamic patterns that may seem like choreographed ...
Christian J. Jacob +5 more
openaire +1 more source
Learning to Optimise a Swarm of UAVs
Applied Sciences, 2022 The use of Unmanned Aerial Vehicles (UAVs) has shown a drastic increase in interest in the past few years. Current applications mainly depend on single UAV operations, which face critical limitations such as mission range or resilience.
Gabriel Duflo +3 more
doaj +1 more source
Complex & Intelligent Systems, 2023 Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-parameter
Libin Hong +4 more
doaj +1 more source
Vision-Based Formation Control for an Outdoor UAV Swarm With Hierarchical Architecture
IEEE Access, 2023 Formation control of a UAV swarm is challenging in outdoor GNSS-denied environments due to the difficulties in accomplishing relative positioning among the UAVs.
Liqun Ma +3 more
doaj +1 more source
IEEE Access, 2022 Swarm intelligence has been applied to replicate numerous natural processes and relatively simple species to achieve excellent performance in a variety of disciplines.
Suleman Qamar +5 more
doaj +1 more source