All Publications

Research Directions

Understand Human attention
Characterize when, where, and why operators shift attention across robots.
Attune
UIST 2026
Understanding operator attention during multi-robot supervision.
Model Attention prediction
Model how robot motion, visual information, and task context shape attention over time.
Predicting Attention in Multi-Robot Supervision
Current work
Modeling how robot actions and visual context predict where operators attend.
Earlier work
Theia
MobiSys 2024
Gaze and perception in mixed-reality video delivery.
Design Interfaces & autonomy
Use models of human state and task context to decide what robots should communicate or handle autonomously.
Shared Social Autonomy for Robot Teleoperation
Current work
Designing autonomy that handles low-level social behavior while preserving operator control.
Earlier work
Collaborative learning in VR
CHI 2023
Shared video control for collaborative learning.
Volumivive
IEEE VRW 2023
Authoring interactive volumetric video.
Deploy Real-world workflows
Study how multi-robot systems can fit into professional workflows such as public safety and search.
Multi-robot video sensemaking
CHI 2026
Video interfaces designed with public-safety professionals.
Ground Robots for Urban Missing-Person Search
Current work
Studying how ground robots can complement professional search teams in urban environments.