Yingzi Lin
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
Top Papers
- 1Human-Robot Interaction Based on Gaze Gestures for the Drone Teleoperation39 citations · 2014
- 2Design and Rapid Construction of a Cost-Effective Virtual Haptic Device39 citations · 2020
- 3Gaze tracking system for teleoperation14 citations · 2014
- 4Mobile Robot Control by BCI Based on Motor Imagery12 citations · 2014
- 5Wearable Sensing for Bio-feedback in Human Robot Interaction7 citations · 2015
- 6On redundant human-robot interface: Concept and design principle6 citations · 2015
- 7Toward Intelligent Human Machine Interactions6 citations · 2017