Jiahao Xu

Papers

Total Citations

H-Index

About

Jiahao Xu is a researcher in human-robot interaction, with a focus on intuitive, skeleton-based control systems. His most cited work, "Skeleton Guided Conflict-Free Hand Gesture Recognition for Robot Control" (2020, 7 citations), addresses a critical challenge in the field: resolving conflicting gesture interpretations that arise when using depth-sensing technologies like Kinect. By developing a skeleton-guided framework that prioritizes conflict-free recognition, Xu’s research enhances the reliability and naturalness of non-verbal human-robot communication. This contribution is particularly significant for applications in assistive robotics and industrial automation, where seamless, error-free interaction is essential. Xu’s approach aligns gesture recognition more closely with human natural behaviors, moving beyond traditional, less intuitive control methods. While his citation count reflects the early-stage impact of this work, the problem he tackles—ensuring robust, conflict-free gesture recognition—is foundational for advancing practical, real-world robot control systems. His research offers a promising direction for students and engineers interested in making human-robot collaboration more fluid and accessible.