Qinqin Xiao

University of Rochester, Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Dr. Qinqin Xiao is pioneering the future of human-robot collaboration through augmented reality (AR) and cognitive-aware systems. Her research centers on making robot programming accessible and safe, with major contributions in human-centered AR interfaces that reduce cognitive load during complex tasks. Her most influential work, "HA$$R^{2}$$bot" (2023, 31 citations), introduces a groundbreaking method that dynamically adapts robot programming instructions based on the operator's mental workload, directly addressing a critical barrier in industrial robotics. Earlier foundational work (2021, 7 citations) established an AR-based interface for collision-free path planning in complex environments, solving the long-standing problem of requiring deep programming expertise. Most recently, her "Safe Planner" (2025, 6 citations) extends this vision by embedding safety awareness into large pre-trained models for autonomous robot task planning—a crucial step toward trustworthy AI in robotics. Dr. Xiao’s work uniquely bridges human factors engineering with cutting-edge AI, ensuring that as robots become more autonomous, they remain intuitive and safe for human operators. Her research is essential reading for anyone interested in the intersection of augmented reality, cognitive science, and practical robotics.