16 citations · 19 across the 8 of their papers we have counts for
8 papers
Sound Matters: Auditory Detectability of Mobile Robots
Subham Agrawal, Marlene Wessels, Jorge de Heuvel +2
Mobile robots are increasingly being used in noisy environments for social purposes, e.g. to provide support in healthcare or public spaces. Since these robots also operate beyond…
Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation
Jorge de Heuvel, Tharun Sethuraman, Maren Bennewitz
Preference-aligned robot navigation in human environments is typically achieved through learning-based approaches, utilizing user feedback or demonstrations for personalization. Ho…
EnQuery: Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation
Jorge de Heuvel, Florian Seiler, Maren Bennewitz
To align mobile robot navigation policies with user preferences through reinforcement learning from human feedback (RLHF), reliable and behavior-diverse user queries are required.…
Spatiotemporal Attention Enhances Lidar-Based Robot Navigation in Dynamic Environments
Jorge de Heuvel, Xiangyu Zeng, Weixian Shi +2
Foresighted robot navigation in dynamic indoor environments with cost-efficient hardware necessitates the use of a lightweight yet dependable controller. So inferring the scene dyn…
Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning
Jorge de Heuvel, Weixian Shi, Xiangyu Zeng +1
Collision-free, goal-directed navigation in environments containing unknown static and dynamic obstacles is still a great challenge, especially when manual tuning of navigation pol…
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…