University of Twente Student Theses
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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