4 papers
Adaptive Control in Autonomous Driving via Real-Time Recurrent RL
Julian Lemmel, Felix Resch, Mónika Farsang +3
We study online fine-tuning of pretrained control policies for autonomous driving using Real-Time Recurrent Reinforcement Learning (RTRRL), a memory-efficient algorithm that update…
Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents
Mihaela-Larisa Clement, Mónika Farsang, Felix Resch +2
Autonomous agents that rely purely on perception to make real-time control decisions require efficient and robust architectures. In this work, we demonstrate that augmenting RGB in…
MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following
Felix Resch, Mónika Farsang, Radu Grosu
Dynamic Vision Sensors (DVS) offer a unique advantage in control applications due to their high temporal resolution and asynchronous event-based data. Still, their adoption in mach…
Enhancing Robot Learning through Learned Human-Attention Feature Maps
Daniel Scheuchenstuhl, Stefan Ulmer, Felix Resch +2
Robust and efficient learning remains a challenging problem in robotics, in particular with complex visual inputs. Inspired by human attention mechanism, with which we quickly proc…