Zhenwu Shi

Papers

Total Citations

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About

Zhenwu Shi is a pioneering researcher in the fields of human-robot interaction and autonomous underwater robotics, with a particular focus on the critical yet underexplored dimension of trust between humans and machines. His most cited work, "Human-Robot Mutual Trust in (Semi)autonomous Underwater Robots" (2014), has garnered 29 citations and stands as a foundational contribution to understanding how operators and autonomous systems build and maintain trust in high-stakes, remote environments. Shi’s research addresses the psychological and technical challenges of deploying semi-autonomous underwater vehicles, where limited visibility, communication delays, and operational risks make mutual trust essential for effective collaboration. By systematically analyzing factors that influence trust—such as system transparency, reliability, and operator feedback—Shi has provided a framework that informs the design of safer, more intuitive human-robot teams. His work bridges cognitive science and robotics, offering practical insights for engineers developing autonomous systems in marine exploration, defense, and disaster response. Shi’s contributions are particularly notable for their interdisciplinary approach, combining empirical studies with real-world applications, and his research continues to shape how we think about the human element in increasingly autonomous technologies.