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October 9, 2025BULLETIN OF CAROL I NATIONAL DEFENCE UNIVERSITYOpen Access

Perspectives Regarding UAS Control in Aquatic Environments (Rivers and Streams) based on Machine Learning

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Authors

CMCosmin-Alin MIRCEA

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Overview

This framework proposes an intelligent system for UAVs in aquatic settings, highlighting surveillance and decision-making autonomy.

Key Points

  • The system enables UAVs to continuously monitor moving vessels, improving search and rescue operations.
  • Using reinforcement learning algorithms, UAVs maintain stability and can land autonomously on mobile platforms.
  • The architecture supports multi-UAV coordination specifically for river missions, enhancing environmental monitoring efforts.
  • Direct applications include real-time surveillance and response to dynamic aquatic conditions, indicating broad utility.

Cite This Study

Cosmin-Alin MIRCEA (2025) studied this question.

synapsesocial.com/papers/68e7ba40ccde5f1021f64b71https://doi.org/10.53477/2284-9378-25-47
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