103 citations · 103 across the 6 of their papers we have counts for
6 papers
Articulated Object Estimation in the Wild
Abdelrhman Werby, Martin Büchner, Adrian Röfer +3
Understanding the 3D motion of articulated objects is essential in robotic scene understanding, mobile manipulation, and motion planning. Prior methods for articulation estimation…
MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning
Mohammad Mohammadi, Daniel Honerkamp, Martin Büchner +5
Autonomous long-horizon mobile manipulation encompasses a multitude of challenges, including scene dynamics, unexplored areas, and error recovery. Recent works have leveraged found…
The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs
Christina Kassab, Matías Mattamala, Sacha Morin +4
3D open-vocabulary scene graph methods are a promising map representation for embodied agents, however many current approaches are computationally expensive. In this paper, we reex…
Learning Lane Graphs from Aerial Imagery Using Transformers
Martin Büchner, Simon Dorer, Abhinav Valada
The robust and safe operation of automated vehicles underscores the critical need for detailed and accurate topological maps. At the heart of this requirement is the construction o…
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
Abdelrhman Werby, Chenguang Huang, Martin Büchner +2
Recent open-vocabulary robot mapping methods enrich dense geometric maps with pre-trained visual-language features. While these maps allow for the prediction of point-wise saliency…
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations
Raphael Trumpp, Martin Büchner, Abhinav Valada +1
Autonomous driving involves complex decision-making in highly interactive environments, requiring thoughtful negotiation with other traffic participants. While reinforcement learni…