Title

Exploring Cognition and Affect during Human-Cobot Interaction

Author(s) Information

Angelika T. Canete, California Polytechnic State University, San Luis ObispoFollow
Javier Gonzalez-Sanchez, California Polytechnic State University, San Luis ObispoFollow
Rafael Guerra Silva, California Polytechnic State University, San Luis ObispoFollow

College - Author 1

College of Engineering

Department - Author 1

Computer Science Department

College - Author 2

College of Engineering

Department - Author 2

Computer Science Department

College - Author 3

Orfalea College of Business

Department - Author 3

Industrial Technology

Advisor

1). Javier Gonzalez-Sanchez, College of Engineering, Computer Science and Software Engineering 2). Rafael Antonio Guerra Silva, Orfalea College of Business, Industrial Technology & Packaging

Funding Source

Noyce School of Applied Computing

Date

10-2023

Abstract/Summary

Collaborative robots (Cobots) have recently gained popularity due to their capability to work collaboratively with human operators. This collaborative relationship has been named under the robotics discipline of Human-Robot Collaboration (HRC), in which humans and robots work together to accomplish a common task while also being in the same physical space. An important part of collaboration is the human's decision-making, which is largely affected by their affective and cognitive state. A cobot lacks this fundamental understanding of the human operator. In this research, we utilize a server-client program to communicate the affective states of a human user to a Raspberry Pi installed within the cobot. Furthermore, this research centers on the stress and focus levels of a user to further enhance Human-Robot collaboration within a manufacturing context.

October 1, 2023.