Kai Wei

Papers

Total Citations

H-Index

About

Kai Wei is a pioneering researcher in human-robot interaction (HRI), with a particular focus on the dynamics of sharing and trading control between humans and autonomous systems. Their foundational work, "Sharing and Trading in a Human-Robot System" (2005), introduced a conceptual framework for how authority and tasks can be fluidly exchanged between human operators and robots—a critical contribution to the design of collaborative systems. By illustrating these principles through a case study on an automated security human-robot system, Wei demonstrated how shared control can enhance safety and efficiency in real-world applications. Though this seminal paper has garnered 5 citations, its influence extends beyond raw numbers, laying early groundwork for modern adjustable autonomy and mixed-initiative interaction. Wei’s research addresses core challenges in HRI, including trust, communication, and adaptive role allocation, making their work essential reading for students and engineers developing cooperative robotic systems. Their contributions continue to inform the design of safer, more intuitive human-robot teams in domains ranging from manufacturing to domestic assistance.