Zhenzhen Xiang
Papers
2
Total Citations
8
H-Index
2
About
Zhenzhen Xiang is a robotics researcher whose work centers on human-robot interaction (HRI), autonomous navigation, and semantic scene understanding for practical applications. Her most cited paper, "Towards Customizable Robotic Disinfection With Structure-Aware Semantic Mapping" (2021, 6 citations), addresses a critical need during the COVID-19 pandemic by enabling robots to perform disinfection in public spaces. The key innovation lies in integrating semantic mapping with risk-aware navigation, allowing robots to recognize and prioritize high-risk zones—a contribution that bridges perception and actionable autonomy. Earlier, Xiang explored uncalibrated hand-eye coordination for humanoid robots (2014, 2 citations), focusing on enabling natural HRI through adaptive visual-motor control without precise calibration. This work laid groundwork for more intuitive robot behaviors in unstructured environments. While her citation counts are modest, Xiang’s research is notable for its timely, application-driven focus—particularly in public health robotics—and for advancing semantic mapping beyond traditional SLAM. Her contributions demonstrate a commitment to making robots more context-aware and responsive to real-world challenges, from pandemic response to everyday human collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Uncalibrated hand-eye coordination based HRI on humanoid robot2 citations · 2014