3 papers
cs.CV2026
Pro-Bench: Prompt-Robust Open-Vocabulary Visual Grounding Across Real-World Heterogeneous Environments
Linus Nwankwo, Muslim Alaran, Christian Rauch +2
Open-vocabulary visual grounding enables robots to localise task-relevant entities from natural-language queries without dependence on predefined perceptual taxonomies. However, ex…
cs.CV2026
EliGSiR: Continual RGB-D Mapping with Gaussian Splatting under Bounded Compute
Björn Ellensohn, Elmar Rueckert, Christian Rauch
Conventional 3D Gaussian Splatting assumes a closed set of observations and long optimization schedules. Continual RGB-D mapping in contrast poses the problem that new observations…
cs.RO2025
VLEM: Real-Time 3D Vision-Language Embedding Mapping
Christian Rauch, Björn Ellensohn, Linus Nwankwo +2
Semantic scene understanding in robotics requires representations that are both metric-accurate and queryable via natural language in real-time. While recent Vision-Language Models…