Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities

Model-Based RL Decision-Making for UAVs Operating in GNSS-Denied, Degraded Visibility Conditions with Limited Sensor Capabilities

Autonomy in Unmanned Aerial Vehicle (UAV) navigation has enabled applications in diverse fields such as mining, precision agriculture, and planetary exploration. However, challenging applications in complex environments complicate the interaction between the agent and its surroundings. Conditions su...

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Bibliographic Details
Main Authors: Sebastien Boiteau, Fernando Vanegas, Julian Galvez-Serna, Felipe Gonzalez
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Drones
Subjects:
reinforcement learning
partially observable Markov decision process
unmanned aerial vehicles
search and rescue
motion planner
entry-level sensors
Online Access:https://www.mdpi.com/2504-446X/9/6/410
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