Xuefei Mao
Papers
1
Total Citations
2
H-Index
1
About
Xuefei Mao is a researcher specializing in human-robot interaction, rehabilitation robotics, and safety in shared workspaces. Their work addresses the critical challenge of balancing human safety with robotic performance, particularly in applications like home service and nursing care. A key contribution is the exploration of stiffness-based tradeoffs in humanoid rehabilitation robots, demonstrating how variable compliance can enhance both safety and functionality in human-robot coexistence. While their most-cited paper, “Tradeoff between safety and performance for humanoid rehabilitation robot based on stiffness” (2017), has garnered 2 citations, it lays foundational groundwork for safer, more adaptive robotic systems. Mao’s research is notable for its focus on practical, real-world scenarios where robots must operate closely with humans, emphasizing the need for dynamic safety mechanisms. This work contributes to the broader field of assistive robotics, aiming to make robots more trustworthy and effective in sensitive environments like healthcare. Mao’s ongoing efforts continue to influence the design of safer, more responsive robotic systems for human-centered applications.
Research Focus
Key Achievements
Top Papers
- 1