Ping Yi
Papers
2
Total Citations
27
H-Index
2
About
Ping Yi’s research lies at the intersection of human-robot interaction, visual servoing, and assistive robotics, with a particular focus on intuitive control systems for mobile manipulators. In their most cited work (25 citations), Yi developed an egocentric-vision-based hand posture control system that allows operators to guide reconnaissance robots using natural hand gestures captured from a first-person perspective—a significant step toward more immersive and accessible robot teleoperation. Building on this, Yi introduced a novel virtual exoskeleton-driven uncalibrated visual servoing control framework based on human-robot-robot cooperation (HRRC). This work addresses a critical real-world challenge: enabling a mobile robotic manipulator to continue functioning even when its joint sensors malfunction. By leveraging human input and cooperative robot assistance, the system maintains task completion without requiring recalibration. Though early in their career, Yi’s contributions demonstrate a clear commitment to making robotic systems more resilient, intuitive, and practical for field applications. Their work holds promise for search-and-rescue, inspection, and assistive technologies where robust, human-guided autonomy is essential.
Research Focus
Key Achievements
Top Papers
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- 2