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cs.CV2026

FunArt: Decoding Functional Structure and Articulation from Generative 3D Latents

Dennis Rotondi, Abdelrhman Werby, Kai O. Arras

To operate effectively in human environments, robots must identify articulated objects, segment their movable and interactive parts, and estimate their kinematic models. Existing a…

cs.CV2026

GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes

Ermanno Bartoli, Buwei He, Dennis Rotondi +6

Robots operating in human environments need memories that capture not only what objects exist and where, but also how people use them over time and how individual interactions comp…

cs.CV2025

KeySG: Hierarchical Keyframe-Based 3D Scene Graphs

Abdelrhman Werby, Dennis Rotondi, Fabio Scaparro +1

In recent years, 3D scene graphs have emerged as a powerful world representation, offering both geometric accuracy and semantic richness. Combining 3D scene graphs with large langu…

cs.CV2025

Social 3D Scene Graphs: Modeling Human Actions and Relations for Interactive Service Robots

Ermanno Bartoli, Dennis Rotondi, Buwei He +3

Understanding how people interact with their surroundings and each other is essential for enabling robots to act in socially compliant and context-aware ways. While 3D Scene Graphs…

cs.CV2025

FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction

Dennis Rotondi, Fabio Scaparro, Hermann Blum +1

The concept of 3D scene graphs is increasingly recognized as a powerful semantic and hierarchical representation of the environment. Current approaches often address this at a coar…