2 citations · 5 across the 7 of their papers we have counts for
6 papers · 1 filter
What Actually Matters? A Paired Evaluation of Inference Settings for on BEHAVIOR-1K
Ruben Hammele, Samira Huber, Mohammad Nazeri +7
Vision-Language-Action (VLA) models offer a promising paradigm for general-purpose household robotics. However, inference and data-collection strategies that have been deployed in…
HumAIN: Human-Aware Implicit Social Robot Navigation
Daeun Song, Nhat Le, Jeffrey Chen +7
Effective social robot navigation requires sensitivity to human behavior, often revealed through subtle skeletal cues like gait and orientation. We present Human-Aware Implicit Soc…
Narrate2Nav: Real-Time Visual Navigation with Implicit Language Reasoning in Human-Centric Environments
Amirreza Payandeh, Anuj Pokhrel, Daeun Song +2
Large Vision-Language Models (VLMs) have demonstrated potential in enhancing mobile robot navigation in human-centric environments by understanding contextual cues, human intention…
VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
Daeun Song, Jing Liang, Amirreza Payandeh +3
We propose VLM-Social-Nav, a novel Vision-Language Model (VLM) based navigation approach to compute a robot's motion in human-centered environments. Our goal is to make real-time d…
DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation
Jing Liang, Amirreza Payandeh, Daeun Song +2
We present a novel end-to-end diffusion-based trajectory generation method, DTG, for mapless global navigation in challenging outdoor scenarios with occlusions and unstructured off…
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, Amirreza Payandeh +1
Humans excel at efficiently navigating through crowds without collision by focusing on specific visual regions relevant to navigation. However, most robotic visual navigation metho…