The University of Wisconsin System was awarded a $131,176 project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support a collaborative research project to develop a better understanding of the technical and socio-technical requirements for accelerating the use of collaborative robotics in manufacturing, mining, construction, and other industrial settings. The key objectives of the project are to: (1) develop a classification scheme for human-robot interaction tasks and scenarios vulnerable to system failures; (2) establish neurophysiological, cognitive, and socio-behavioral models for monitoring and modeling the "mind-motor-machine nexus"; (3) use these models to determine how to adjust human cognitive, social, and environmental states to enhance human-robot interactions for efficient and safe work performance; and (4) create an "Augmented Learning Innovation" (AMELIA) architecture that leverages augmented reality to enable mutual learning and communication between workers and collaborative robots. The project aims to empower new worker populations, assist older workers, and reduce skills gaps, while also broadening participation of females in computing. No sub-awards are planned under this award, which has a project period from September 1, 2023 to July 31, 2024.