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From the 2 of 71 linked papers with an AI index.

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20242026
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cs.RO2026

Hierarchical and Holistic Open-Vocabulary Functional 3D Scene Graphs for Indoor Spaces

Xinggang Hu, Chenyangguang Zhang, Alexandros Delitzas +4

The paper introduces a method to build detailed, hierarchical functional 3D scene graphs for indoor environments, using open‑vocabulary visual grounding and temporal graph optimiza…

cs.RO2026

What Matters in RL-Based Methods for Object-Goal Navigation? An Empirical Study and A Unified Framework

Hongze Wang, Boyang Sun, Jiaxu Xing +5

Object-Goal Navigation (ObjectNav) is a key capability for deploying mobile robots in everyday environments such as homes, schools, and workplaces. In this task, an agent must loca…

cs.RO2026

LIME: Learning Intent-aware Camera Motion from Egocentric Video

Boyang Sun, Jiajie Li, Yung-Hsu Yang +6

Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region, or obtain a view that responds to a user's intent. While vis…

cs.RO2026

OpenFrontier: General Navigation with Visual-Language Grounded Frontiers

Esteban Padilla-Cerdio, Boyang Sun, Marc Pollefeys +1

Open-world navigation requires robots to make decisions in complex everyday environments while adapting to flexible task requirements. Conventional navigation approaches often rely…

cs.RO2026

LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation

Nicolas Baumann, Liam Boyle, Pu Deng +5

Vision Language Models (VLMs) have emerged in the robotic domain as a powerful tool that enables environmental perception with language context, serving as a catalyst for open-voca…

cs.RO2026

ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos

Pranjal Mishra, René Zurbrügg, Max Wilder-Smith +4

Deploying robots in unstructured real-world environments needs accurate, interactive models of the objects. Constructing these models at scale remains a critical bottleneck for rob…