Zhongqi Wei

China Guangzhou Analysis and Testing Center, Carnegie Mellon University

Papers

Total Citations

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About

Zhongqi Wei is a robotics researcher whose work focuses on enhancing human-robot interaction and accessibility in industrial automation. His key research areas include robot programming interfaces, tactile sensing, and the integration of interactive skins for collaborative robots. Wei’s major contribution is the development of a virtual teaching pendant system for serial industrial robots, built on the Robot Operating System Industrial (ROS-I) framework. This system simplifies robot model establishment and kinematic manipulation, making industrial robots more accessible to non-experts. His 2017 paper on this topic has garnered 11 citations, reflecting its foundational role in advancing user-friendly robot programming. More recently, Wei has pioneered the use of textile-based tactile skins for interactive industrial robots, enabling robots to localize contact points and measure forces during human-robot collaboration. His 2023 paper introduces a novel automated calibration process for these skins, significantly reducing deployment time. This work, though early in its citation impact, represents a promising step toward safer, more intuitive human-robot interaction. Wei’s achievements demonstrate a commitment to bridging the gap between complex robotic systems and practical, everyday use in industrial settings.