Leimin Tian

2 accepted papers

2025

'What Did the Robot Do in My Absence?' Video Foundation Models to Enhance Intermittent Supervision

Kavindie Katuwandeniya, Leimin Tian, Dana Kulic

RA-L 2025

This paper investigates the use of Video Foundation Models (ViFMs) for generating robot data summaries to enhance intermittent human supervision of robot teams. We propose a novel framework that produces both generic and query-driven summaries of long-duration robot vision data in three modalities:

Cited by 2 Source ↗Scholar ↗

2025

Evaluating Human-Robot Collaboration through Online Video: Perspective Matters

Leimin Tian, Shiyu Xu, Kerry He, Rachel Love, Akansel Cosgun, Dana Kulic

IROS 2025

Online evaluation is increasingly adopted in robotics research, providing an efficient approach to collect data from large and diverse populations. However, there have been ongoing debates about online studies as a proxy for in-person studies, especially where a participant passively observes video

Cited by 0 Source ↗Scholar ↗