Zixuan Xiao

Papers

Total Citations

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About

Zixuan Xiao is a robotics researcher specializing in human-robot interaction, medical service robotics, and web-based control systems. Their work focuses on bridging the gap between intuitive human commands and precise robotic execution, particularly in healthcare and assistive applications. Xiao’s most cited paper, "Kinect-based Human Body Tracking System Control of Medical Care Service Robot" (2018, 3 citations), introduced an innovative approach to real-time human following using Kinect v2 depth sensors, combined with improved Gaussian filtering for noise reduction and Kalman filtering for motion prediction—a contribution that enhances the autonomy and safety of medical service robots. Another notable work, "Web-Based Robot Control Interface" (2019, 2 citations), demonstrates Xiao’s commitment to accessibility and versatility, designing a cross-platform interface that allows users to control robot motion, visualize 3D models, and monitor joint values via PC or mobile devices. While early in their career, Xiao’s research lays critical groundwork for more adaptive, user-friendly robotic systems in healthcare settings, with potential to improve patient care and caregiver efficiency. Their focus on practical, deployable solutions signals a promising trajectory in human-centered robotics.