A Multimodal Attention Tracking in Human-Robot Collaboration for Manufacturing Tasks

15 A Multimodal Attention Tracking in Human-Robot Collaboration for Manufacturing Tasks

Participants

Department of Materials and Production and Department of Electronic Systems of Aalborg University. The project will also collaborate with College of Artificial Intelligence of Nanjin Agricultural University.

 

Purpose

Attention is a central aspect of human cognition, meaning that it influences and interacts with almost every aspect of the mind: perception, memory, problem solving, decision making, and consciousness. When attention lapses, task performance decreases and risk of errors and safety violations increase. This project will build a proof-of-concept solution that utilizes multimodal inputs to estimate human attention and deploy it in an industrial context in order to enhance operator safety during collaborative assembly tasks with industrial robots.