2 citations · 4 across the 35 of their papers we have counts for
11 papers · 1 filter
An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence
Jonas D. Rockbach, Sven Fuchs, Maren Bennewitz
Due to the progress in artificial intelligence, it is important to understand how capable artificial agents should be used when interacting with humans, since high level authority…
A Robust Placeability Metric for Model-Free Unified Pick-and-Place Reasoning
Benno Wingender, Nils Dengler, Rohit Menon +2
Reliable manipulation of previously unseen objects remains a fundamental challenge for autonomous robotic systems operating in unstructured environments. In particular, robust pick…
Efficient Manipulation-Enhanced Semantic Mapping With Uncertainty-Informed Action Selection
Nils Dengler, Jesper Mücke, Rohit Menon +1
Service robots operating in cluttered human environments such as homes, offices, and schools cannot rely on predefined object arrangements and must continuously update their semant…
Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
Hendrik Surmann, Jorge de Heuvel, Maren Bennewitz
Human drivers exhibit individual preferences regarding driving style. Adapting autonomous vehicles to these preferences is essential for user trust and satisfaction. However, exist…
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…
PeRoI: A Pedestrian-Robot Interaction Dataset for Learning Avoidance, Neutrality, and Attraction Behaviors in Social Navigation
Subham Agrawal, Nico Ostermann-Myrau, Nils Dengler +1
Robots are increasingly being deployed in public spaces such as shopping malls, sidewalks, and hospitals, where safe and socially aware navigation depends on anticipating how pedes…
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Rohit Menon, Nils Dengler, Sicong Pan +2
For scene understanding in unstructured environments, an accurate and uncertainty-aware metric-semantic mapping is required to enable informed action selection by autonomous system…
GO-VMP: Global Optimization for View Motion Planning in Fruit Mapping
Allen Isaac Jose, Sicong Pan, Tobias Zaenker +3
Automating labor-intensive tasks such as crop monitoring with robots is essential for enhancing production and conserving resources. However, autonomously monitoring horticulture c…
Map Space Belief Prediction for Manipulation-Enhanced Mapping
Joao Marcos Correia Marques, Nils Dengler, Tobias Zaenker +4
Searching for objects in cluttered environments requires selecting efficient viewpoints and manipulation actions to remove occlusions and reduce uncertainty in object locations, sh…