Papers
1
Total Citations
10
H-Index
1
About
Menglin Sun is a pioneering researcher in assistive robotics and human-robot interaction, with a focus on developing intuitive, non-invasive interfaces for individuals with motor impairments. Her key research areas include gaze-driven control systems, 3D vision-based human-robot collaboration, and adaptive robotic manipulation. Sun's most notable contribution is the development of a head-free, human gaze-driven assistive robotic system for reaching and grasping tasks, published in 2021. This work introduced a novel approach that decouples head movement from gaze control, allowing users with limb dysfunction to operate robotic arms through natural eye movements alone. The system integrates 3D gaze estimation with coordinate transformation techniques, eliminating the need for head-mounted sensors and significantly improving user comfort and accessibility. With 10 citations, this paper has laid important groundwork for more natural human-robot interfaces in rehabilitation and assistive technologies. Sun's research bridges computer vision, robotics, and human factors engineering, offering practical solutions that enhance independence for patients with severe motor disabilities. Her work continues to influence the design of intuitive, hands-free robotic systems for daily living assistance.
Research Focus
Key Achievements
Top Papers
- 1