Chen Li

Multimodal Attention Tracking in Human-Robot Interaction For Manufacturing Tasks

Human-robot interaction is crucial for improving collaboration in industrial settings. This talk presents a multimodal approach that employs a context-aware natural language interface and position tracker to monitor operator attention. By integrating multimodal inputs, including head pose estimation and intent recognition, the system accurately predicts user focus and adjusts robot behaviors accordingly. 

Bio: Chen Li is an Associate Professor in the Department of Materials and Production at Aalborg University. His goal is to innovate and apply the experience he matured to help to build multimodal interactive systems and interfaces to support human-robot interaction and robot tasking.