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Creating Contextual Awareness for Human-Robot Interaction

Micheal Wetherbee, Laura Stanley, Computer Science, Montana State University, Barnard Hall Bozeman 59715

Traditional robotic technology, such as industrial robots, often create bottlenecks in the production process, leading to inefficiencies and sometimes safety concerns. We propose to exploit recent robotic innovations, such as the collaborative robot to help aid in more efficient and safer human-robot interaction during the manufacturing process. Our proposed work utilizes wearables (e.g. smartwatch) and augmented reality to create more contextual awareness between human and robot. The collaborative robot will be able to use this awareness to detect the cognitive state (e.g. stress, fatigue, vigilance) of the assembly worker and act accordingly (e.g. slow, stop, prompt). Using physiological inputs such as brain activity, heart rate, and electrodermal activity the robot relays information about the well being of the assembly worker to an augmented reality headset worn by the worker. With this innovation we hypothesize that collaboration between human and robot can be more harmonious, leading to improved worker satisfaction, efficiency, and safety. 




Additional Abstract Information

Presenter: Micheal Wetherbee

Institution: University of Montana

Type: Poster

Subject: Computer Science

Status: Approved


Time and Location

Session: Poster 5
Date/Time: Tue 12:30pm-1:30pm
Session Number: 4037