activity
20232026
most citedEnhancing Robotic Precision in Construction: A Modular Factor Graph-Based Framework to Deflection and Backlash Compensation Using High-Accuracy Accelerometers

4 citations · 5 across the 13 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CV2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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.…

cs.CV2026

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…

cs.CV2026

MOSAIC-GS: Monocular Scene Reconstruction via Advanced Initialization for Complex Dynamic Environments

Svitlana Morkva, Maximum Wilder-Smith, Michael Oechsle +3

We present MOSAIC-GS, a novel, fully explicit, and computationally efficient approach for high-fidelity dynamic scene reconstruction from monocular videos using Gaussian Splatting.…