Xiaomei Tang
Papers
1
Total Citations
4
H-Index
1
About
Xiaomei Tang is a researcher at the forefront of assistive robotics and intelligent mobility systems, with a primary focus on enhancing autonomy and precision in healthcare environments. Her most cited work, "High-precision docking of wheelchair/beds through LIDAR and visual information" (2024), addresses a critical challenge in robotic patient transfer by integrating LIDAR, visual positioning, and laser ranging into a novel automatic docking framework. This innovation, which has already garnered 4 citations, significantly improves docking accuracy for wheelchair/beds, directly impacting patient safety and caregiver efficiency. Tang’s contributions lie in fusing multimodal sensor data to create robust, real-time control systems for assistive devices. Her research not only advances the technical frontier of human-robot interaction but also holds tangible promise for reducing physical strain in clinical settings. Through her work, Tang demonstrates a commitment to translating complex engineering solutions into practical, life-enhancing technologies, positioning her as a rising voice in the field of intelligent healthcare robotics.
Research Focus
Key Achievements
Top Papers
- 1