7 papers
ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset
Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar +35
Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing dat…
Interpreting Context-Aware Human Preferences for Multi-Objective Robot Navigation
Tharun Sethuraman, Subham Agrawal, Nils Dengler +3
Robots operating in human-shared environments must not only achieve task-level navigation objectives such as safety and efficiency, but also adapt their behavior to human preferenc…
Auditory Localization and Assessment of Consequential Robot Sounds: A Multi-Method Study in Virtual Reality
Marlene Wessels, Jorge de Heuvel, Leon Müller +3
Mobile robots increasingly operate alongside humans but are often out of sight, so that humans need to rely on the sounds of the robots to recognize their presence. For successful…
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
Jorge de Heuvel, Sebastian Müller, Marlene Wessels +3
End-to-end robot policies achieve high performance through neural networks trained via reinforcement learning (RL). Yet, their black box nature and abstract reasoning pose challeng…
The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning
Jorge de Heuvel, Daniel Marta, Simon Holk +2
Aligning robot navigation with human preferences is essential for ensuring comfortable, and predictable robot movement in shared spaces. While preference-based learning methods, su…
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…