Cpts: Cross Paradigm-Based Target Seeking for Uav Swarm in Unknown Environments

Published: Jan. 1, 2025

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Language: Английский

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Reconfiguration Costs in Coupled Sensor Configuration and Path-Planning for Dynamic Environments

AIAA SCITECH 2022 Forum, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

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Variational Autoencoder for the Prediction of Oil Contamination Temporal Evolution in Water Environments

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1654 - 1654

Published: March 7, 2025

The water quality monitoring of large masses using robotic vehicles is a complex task highly developed in recent years. main approaches utilize adaptative informative path planning fleets autonomous surface and computer learning methods. However, characterized by dynamic unknown environment. Thus, the characterization state mass becomes challenge. This paper proposes variational autoencoder structure, trained model-free manner, that aims to provide contamination model from partial observations homogeneous fleet vehicles. To train proposed approach, an oil spillage simulator based on heuristics provided for world building. was tested three different environments spill movements twp equipped with sensors. results show accurate future distribution predictions mean squared error ranging 3 9% baseline at validation, defined as static approach. Further tests addressed overfit neural network, showing high robustness against unseen scenarios, effects gathered information performance.

Language: Английский

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PFCPNet: A progressive feature correction and prompt network for robust real-world image denoising

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 130221 - 130221

Published: May 1, 2025

Language: Английский

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Active Signal Emitter Placement In Complex Environments

IEEE Robotics and Automation Letters, Journal Year: 2024, Volume and Issue: 9(10), P. 8786 - 8793

Published: Aug. 23, 2024

Language: Английский

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