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Deep Reinforcement Learning for Autonomous Indoor Exploration with UAVs

Bravo i Forn, Andrea (2025) Deep Reinforcement Learning for Autonomous Indoor Exploration with UAVs.

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Abstract:This master’s thesis addresses the challenge of autonomous exploration in unknown, office-like indoor environments using an Unmanned Aerial Vehicle (UAV). The primary objective is to train a UAV to explore such environments through Deep Reinforcement Learning (DRL) techniques within a physics-accurate, photorealistic simulation framework.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Robotics MSc (60973)
Link to this item:https://purl.utwente.nl/essays/105419
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