Robotics
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Articulate3D accepted at ICCV 2025
Our paper Articulate3D has been accepted at ICCV 2025. The dataset enables high-quality, interaction-aware 3D understanding for embodied AI applications.
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GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond
Anna-Maria Halacheva, Jan-Nico Zaech, Xi Wang, Danda Pani Paudel, Luc Van Gool We present GaussianVLM, the first 3D VLM operating on Gaussian splats. Each Gaussian in the scene is enriched with language features, forming a dense, scene-centric representation. A novel dual sparsifier reduces ~40k language-augmented Gaussians to just 132 tokens, retaining task-relevant and location-relevant information.…
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ReVLA@ICRA: Visual Robustness for Robotic Foundation Models
We have presented ReVLA, our first work at ICRA 2025 in Atlanta.
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ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models
Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel International Conference on Robotics and Automation, ICRA 2025 Abstract Recent progress in large language models and access to large-scale robotic datasets has sparked a paradigm shift in robotics models transforming them into generalists able to adapt to various tasks, scenes, and robot modalities.…