Grace Pan

Papers

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About

Grace Pan is a pioneering researcher in human-robot interaction, with a focused expertise in telepresence robotics and cognitive ergonomics. Her most influential work, "The Benefits of Autonomous Navigation in Telepresence Robots and its Effect on Cognitive Load" (2022), has garnered significant attention for its groundbreaking exploration of how autonomous navigation systems can reduce operator mental strain in remote environments. This research, which has accumulated 5 citations in a short period, addresses a critical challenge in the post-pandemic world where telepresence robots have become essential tools in education, healthcare, and workplace settings. Pan's contributions are particularly notable for bridging the gap between robotic autonomy and human cognitive performance, demonstrating that intelligent navigation features can dramatically improve user experience and task efficiency. Her work has practical implications for designing more intuitive remote presence systems, directly impacting how individuals digitally represent themselves in distant locations. As telepresence technology continues to evolve, Pan's research provides foundational insights into creating robots that not only move autonomously but also enhance human cognitive capabilities, making her a rising voice in the field of socially assistive robotics.