activity
20232026
most citedSTERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Learning from Humans for Proactive Assistance in Human-Robot Collaborative Transport

Elvin Yang, Christoforos Mavrogiannis

We focus on human-robot collaborative transport, a challenging task of broad relevance spanning logistics, manufacturing, and the home, in which a user and a robot work together to…

cs.RO2026

ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset

Shashank Rao Marpally, Allan Wang, Atharva Ghotavadekar +35

Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing dat…

cs.RO2025

Implicit Communication in Human-Robot Collaborative Transport

Elvin Yang, Christoforos Mavrogiannis

We focus on human-robot collaborative transport, in which a robot and a user collaboratively move an object to a goal pose. In the absence of explicit communication, this problem i…

cs.RO2023★ 2 cited

STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience

Haresh Karnan, Elvin Yang, Daniel Farkash +3

Terrain awareness, i.e., the ability to identify and distinguish different types of terrain, is a critical ability that robots must have to succeed at autonomous off-road navigatio…

cs.RO2023★ 1 cited

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning

Haresh Karnan, Elvin Yang, Garrett Warnell +2

Autonomous mobility tasks such as lastmile delivery require reasoning about operator indicated preferences over terrains on which the robot should navigate to ensure both robot saf…