16 citations · 19 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality
Jorge de Heuvel, Nathan Corral, Benedikt Kreis +3
For the best human-robot interaction experience, the robot's navigation policy should take into account personal preferences of the user. In this paper, we present a learning frame…
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Dawood, Nils Dengler, Jorge de Heuvel +1
Reinforcement learning (RL) has recently proven great success in various domains. Yet, the design of the reward function requires detailed domain expertise and tedious fine-tuning…
Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study
Jorge de Heuvel, Nathan Corral, Lilli Bruckschen +1
For the most comfortable, human-aware robot navigation, subjective user preferences need to be taken into account. This paper presents a novel reinforcement learning framework to t…