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.
Included in
URL: https://digitalcommons.calpoly.edu/ceng_surp/17