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TransCAVE-E: A distributed virtual reality testbed for adaptive external human-machine interfaces
Yun Ye, Zexuan Li, Haoyang Liang +3
External human-machine interfaces (eHMIs) are evolving from predefined displays toward adaptive communication strategies that respond to changing traffic and road-user states. This…
Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Efe Ongan, Chong Zhang, Boyang Sun +3
Traversing sparse 3D structures requires humanoid robots to perceive thin, overhanging geometry while executing agile, accurate whole-body motions. We study this problem through mo…
EgoTrack3D: A Modular Framework for Egocentric 3D Object Tracking
Jan Kulik, Bjarni Dagur Thor Karason, Yung-Hsu Yang +3
Understanding 3D scenes from egocentric video is fundamental for robotics and autonomous navigation, yet rapid viewpoint changes and partial occlusions make building structured rep…
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…
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…
PROSE: Training-Free Egocentric Scene Registration with Vision-Language Models
Zhiang Chen, Nahyuk Lee, Boyang Sun +4
Registering two captures of the same indoor space taken at different times underpins persistent spatial memory for robots and AR systems, yet the realistic version of this task is…
FunRec: Reconstructing Functional 3D Scenes from Egocentric Interaction Videos
Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin +8
We present FunRec, a method for reconstructing functional 3D digital twins of indoor scenes directly from egocentric RGB-D interaction videos. Unlike existing methods on articulate…
Memory Over Maps: 3D Object Localization Without Reconstruction
Rui Zhou, Xander Yap, Jianwen Cao +3
Target localization is a prerequisite for embodied tasks such as navigation and manipulation. Conventional approaches rely on constructing explicit 3D scene representations to enab…
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…