Adrian Redder

VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-To-Real Gap

End-to-end navigation via deep reinforcement learning has become a key approach for vision-based tasks. However, the sim-to-real gap remains a challenge, especially for aerial robots, where policies trained in simulation often fail in real-world environments. In this work, we propose a novel navigat…