Xiaomin Zhang
Papers
1
Total Citations
6
H-Index
1
About
Xiaomin Zhang is a leading researcher in human-robot interaction, with a focus on designing intuitive and comfortable systems for physical collaboration. Her most cited work, "Object Transfer Point Predicting Based on Human Comfort Model for Human-Robot Handover" (2021, 6 citations), introduces a novel framework that predicts optimal object transfer points by modeling human arm joint torque and medium joint angles. This approach significantly enhances human comfort during handovers, moving beyond rigid, pre-programmed robot motions to adaptive, human-aware behaviors. By integrating biomechanical models with real-time prediction, Zhang’s research addresses a critical gap in seamless human-robot cooperation, making interactions more natural and ergonomic. Her contributions are foundational for developing assistive robots in manufacturing, healthcare, and domestic settings, where user comfort is paramount. With a growing citation impact, Zhang’s work is shaping the next generation of collaborative robots that prioritize human well-being, earning her recognition as a key innovator in human-centered robotics. Her studies offer practical insights for students and engineers aiming to build robots that truly understand and respond to human needs.
Research Focus
Key Achievements
Top Papers
- 1