Tianxiang Zhang

Tokyo University of Agriculture and Technology

Papers

Total Citations

H-Index

About

Tianxiang Zhang is a researcher working at the intersection of human-robot interaction (HRI) and wearable sensing technologies. His work focuses on enabling robots to recognize, understand, and respond meaningfully to human partners — a critical challenge as collaborative robots become increasingly integrated into everyday environments. Zhang's most notable contribution is his development of an IMU-based gait identification system, which uses a single wearable sensor positioned at the user's belt to identify individuals through their walking patterns as they approach a robot. This elegant, minimally intrusive solution to interaction partner recognition has garnered 8 citations and represents a practical advance in seamless human-robot collaboration. Alongside his sensing work, Zhang has explored the psychological dimensions of HRI, particularly the concept of the "familiar" — how humans experience comfort and recognition when interacting with robotic partners. His studies examined how a robot's proactive social behavior shapes the human partner's sense of familiarity and engagement, contributing nuanced insight to the design of socially adaptive robots. Though Zhang's citation counts remain modest, his interdisciplinary approach — bridging biomechanical sensing, social robotics, and user experience — positions his research as a meaningful foundation for future work in intuitive and human-centered robot design.