Ruiqiu Zhang

Papers

Total Citations

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About

Ruiqiu Zhang is a robotics researcher whose work bridges intuitive human-robot interaction and parallel mechanism control, with a particular focus on making industrial robots more accessible through natural interfaces. Their most-cited paper, "Natural Gesture Control of a Delta Robot Using Leap Motion" (2019, 12 citations), addresses a critical gap in human-robot interaction: while most HRI research centers on serial robots, Zhang explores the touchless control of Delta parallel robots using the Leap Motion optical sensor. By deriving the kinematics of the Delta robot and integrating gesture-based commands, Zhang demonstrates how operators can guide these high-speed, precise machines without physical contact or complex programming. This work contributes to safer, more user-friendly manufacturing environments and expands the scope of natural interaction to parallel robotics—a domain traditionally reserved for expert programmers. Zhang’s research sits at the intersection of robotics, control systems, and human factors engineering, offering practical solutions for industries seeking to democratize robot programming. With growing interest in collaborative robotics and intuitive interfaces, Zhang’s contributions are increasingly relevant, laying groundwork for future studies on gesture-controlled parallel manipulators in assembly, pick-and-place, and medical applications.