Yingzi Lin

Northeastern University

Papers

7

Total Citations

123

H-Index

6

About

Yingzi Lin is a pioneering researcher in human-robot interaction (HRI), with a focus on developing intuitive, accessible, and resilient control systems. Her work centers on teleoperation, gaze-based interfaces, brain-computer interfaces (BCI), and wearable sensing for bio-feedback, aiming to make robotic control more natural and inclusive—especially for users with physical disabilities. Among her most-cited contributions is a study on gaze gestures for drone teleoperation (39 citations), which proposes eye-tracking as an alternative to conventional joystick and keyboard controls. She also led the design of a cost-effective virtual haptic device (39 citations), advancing haptic technology for virtual reality and rehabilitation. Lin’s research on gaze tracking for teleoperation (14 citations) and BCI-based mobile robot control using motor imagery (12 citations) further demonstrates her commitment to non-intrusive, assistive interfaces. She introduced the concept of a “redundant human-robot interface” to improve system resilience and user understanding, and her work on intelligent human-machine interactions explores how human assistance systems can detect and compensate for errors. With a portfolio that spans teleoperation, haptics, and wearable sensing, Lin’s contributions are shaping safer, more adaptive, and more inclusive robotic systems.

Research Focus

Key Achievements

6
H-Index
7
Papers
123
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Human-Robot Interaction Based on Gaze Gestures for the Drone Teleoperation
39 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago