Haomiao Zhang
Papers
2
Total Citations
54
H-Index
2
About
Haomiao Zhang is a leading researcher in human-robot interaction, specializing in augmented reality (AR) interfaces and intuitive robot teaching methods. His major contributions include the design and experimental evaluation of a wearable AR head-mounted display system that enables seamless collaboration between humans and robots in physically shared manufacturing tasks. This work, published in 2022 and garnering 50 citations, demonstrates how AR can enhance team coordination and safety in industrial settings. Zhang also explores how everyday users can efficiently teach robots through demonstration, addressing the critical challenge of enabling laypeople to program robots without technical expertise. His 2025 paper on this topic, with 4 citations, focuses on improving the quality and quantity of user demonstrations to boost robot learning and generalization. Zhang’s research bridges the gap between complex robotic systems and non-expert users, advancing the accessibility of collaborative robotics. His work is highly relevant for students and researchers interested in human-robot teaming, AR interfaces, and accessible robot programming, offering practical insights into designing intuitive systems for real-world manufacturing and domestic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2How Can Everyday Users Efficiently Teach Robots by Demonstration?4 citations · 2025