Youchen Pu

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Youchen Pu is a researcher advancing the field of human–robot collaboration, with a particular focus on post-disaster rescue operations. Their key research areas include team training methodologies, human–robot interaction, and emergency response systems. Pu’s most notable contribution is their work on cross-training for human–robot rescue teams, as detailed in their 2024 paper, “Use of cross‐training in human–robot collaborative rescue.” This study systematically compares procedural training and cross-training, demonstrating how cross-training can significantly improve team efficiency and safety in high-stakes environments. While the paper currently has 2 citations, its practical implications for disaster response are substantial, offering a framework for optimizing collaboration between humans and autonomous systems. Pu’s research addresses a critical gap in rescue robotics, moving beyond technical capability to focus on the human factors that determine real-world success. By exploring how team members can better understand each other’s roles and anticipate actions, Pu’s work lays the groundwork for more adaptive and resilient human–robot teams. This research is particularly valuable for students and engineers interested in the intersection of robotics, cognitive science, and emergency management.