2 citations · 5 across the 7 of their papers we have counts for
8 papers
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…
Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces
Amirreza Payandeh, Daeun Song, Mohammad Nazeri +6
Most existing social robot navigation techniques either leverage hand-crafted rules or human demonstrations to connect robot perception to socially compliant actions. However, ther…
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…
How susceptible are LLMs to Logical Fallacies?
Amirreza Payandeh, Dan Pluth, Jordan Hosier +2
This paper investigates the rational thinking capability of Large Language Models (LLMs) in multi-round argumentative debates by exploring the impact of fallacious arguments on the…