Assistant Professor, University of South Florida
HRI 2022
For mobile robots, mobile manipulators, and autonomous vehicles to safely navigate around populous places such as streets and warehouses, human observers must be able to understand their navigation intent. One way to enable such understanding is by visualizing this intent through projections onto the surrounding environment. But despite the demonstrated effectiveness of such projections,… Continue reading Projecting Robot Navigation Paths: Hardware and Software for Projected AR
AI-HRI 2020
Existing research on non-verbal cues, e.g., eye gaze or arm movement, may not accurately present a robot’s internal states such as perception results and action intent. Projecting the states directly onto a robot’s operating environment has the advantages of being direct, accurate, and more salient, eliminating mental inference about the robot’s intention. However, there… Continue reading Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability
NEMS 2018
Introduction Most human-robot handovers focus on how to approach human receivers and notify the readiness, few have investigated the effects of difference release behaviors of objects. The whole handover process consists of three phases: the approach phase, the signal phase, and the transfer phase. Failures during the transfer phase have serious consequences: To increase handover… Continue reading Investigating Human-Robot Handover Release Behaviors
