66 citations · 80 across the 4 of their papers we have counts for
4 papers · 1 filter
Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators
Christian Jestel, Nicolas Bach, Marvin Wiedemann +2
Deep reinforcement learning (DRL) navigation policies often overfit to the structure of their training environments, as environmental diversity is typically constrained by the manu…
Learning Vision-Based Omnidirectional Navigation: A Teacher-Student Approach Using Monocular Depth Estimation
Jan Finke, Wayne Paul Martis, Adrian Schmelter +3
Reliable obstacle avoidance in industrial settings demands 3D scene understanding, but widely used 2D LiDAR sensors perceive only a single horizontal slice of the environment, miss…
Obtaining Robust Control and Navigation Policies for Multi-Robot Navigation via Deep Reinforcement Learning
Christian Jestel, Hartmut Surmann, Jonas Stenzel +2
Multi-robot navigation is a challenging task in which multiple robots must be coordinated simultaneously within dynamic environments. We apply deep reinforcement learning (DRL) to…
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
Hartmut Surmann, Christian Jestel, Robin Marchel +3
Deep Reinforcement Learning has been successfully applied in various computer games [8]. However, it is still rarely used in real-world applications, especially for the navigation…