10 papers
Vernata: Self-Supervised Learning of LiDAR Point Representations
Oliver Lemke, Alexander Liniger, Abel Gawel +1
LiDAR serves as a primary sensing modality for robots operating in outdoor environments. However, the performance of deep learning models in this domain is severely limited by the…
Prior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured Environments
Giorgio Tonetti, Laurent Kneip, Abel Gawel +1
Hierarchical 3D scene graphs are a promising representation for high-level spatial reasoning in autonomous mobile platforms. However, existing extraction frameworks typically rely…
Tripody: An Overconstrained 3-SPR-like Parallel Robot for High-Reach Construction Tasks
Julien Kindle, Jakub Raczy, Riccardo Balbi +3
Many ceiling construction tasks still rely on heavy serial manipulators that are difficult to deploy in cluttered interiors, motivating lightweight, field-ready alternatives that r…
SE(2) Navigation Mesh
Shuyang Shi, Kaixian Qu, Changan Chen +3
Global navigation for ground robots in complex multi-level environments requires representations that accurately capture traversable regions while enabling efficient path planning.…
DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management
Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil +4
Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated impressive results for novel view synthesis with real-time rendering capabilities. However, integrating 3DGS with…
FunFact: Building Probabilistic Functional 3D Scene Graphs via Factor-Graph Reasoning
Zhengyu Fu, René Zurbrügg, Kaixian Qu +4
Recent work in 3D scene understanding is moving beyond purely spatial analysis toward functional scene understanding. However, existing methods often consider functional relationsh…