David Williamson Shaffer

Papers

Total Citations

108

H-Index

About

David Williamson Shaffer is a leading researcher in the field of collaborative robotics (cobotics), focusing on the intersection of human-robot interaction, workforce training, and automation safety. His work investigates how workers and organizations integrate cobots into industrial settings, addressing the critical gap between robotic capabilities and practical deployment. Shaffer’s most influential paper, “Collaborative or Simply Uncaged? Understanding Human-Cobot Interactions in Automation” (2020), has garnered 90 citations and provides foundational insights into the dynamics of human-cobot collaboration in manufacturing. He further advances the field with “CoFrame: A System for Training Novice Cobot Programmers” (2022), which develops innovative tools to bridge the skills gap for workers entering automated environments. His research on safety expertise, outlined in “Safety First: Developing a Model of Expertise in Collaborative Robotics” (2021), establishes a framework for ensuring safe human-robot collaboration. Shaffer’s contributions are vital for designing effective training systems and optimizing cobot integration, directly impacting industrial productivity and worker safety. His work is essential reading for students and researchers in human-robot interaction, automation, and workforce development.