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


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




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.




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