Weiwei Pan

Papers

Total Citations

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About

Weiwei Pan is a leading researcher in wearable robotics and intelligent electromechanical systems, with key contributions spanning soft exosuit design and high-voltage live-line maintenance robotics. Her most cited work, "Preference-based assistance optimization for lifting and lowering with a soft back exosuit" (2025, 6 citations), addresses a critical barrier to wearable device adoption—user comfort and perceived benefit—by developing optimization frameworks that balance functional support with ergonomic preference. This research is pivotal for advancing occupational exoskeletons in industries like logistics and manufacturing. Pan also made notable strides in power grid safety with her 2021 study on electric field and potential transfer arc simulation during live working anti-vibration hammer robot operations (5 citations), providing essential safety data for robotic maintenance of transmission lines. Her work uniquely bridges human-centered design and high-risk automation, demonstrating impact through both citation counts and practical applications. Pan’s research is particularly valuable for students and engineers interested in human-robot interaction, rehabilitation robotics, and the safety challenges of deploying robots in extreme environments.