Lingfei Zhang
Papers
1
Total Citations
20
H-Index
1
About
Dr. Lingfei Zhang is a leading researcher in robotic teleoperation and human-robot interaction, with a focus on making robot control more intuitive and accessible. Their most-cited work, "Goal-predictive robotic teleoperation from noisy sensors" (2017, 20 citations), tackles a critical challenge in the field: enabling precise robotic control despite the inherent imprecision of low-cost depth cameras and complex calibration requirements. By developing goal-predictive algorithms that infer human intent from noisy pose demonstrations, Zhang has advanced the feasibility of using affordable sensors for practical teleoperation systems. This work bridges the gap between high-cost, high-precision robotic systems and the need for scalable, user-friendly interfaces. Dr. Zhang's contributions are particularly impactful for applications in assistive robotics, remote manipulation, and human-robot collaboration, where intuitive control from imperfect data is essential. Their research continues to push the boundaries of how humans can seamlessly guide robots in real-world environments, making sophisticated robotic systems more accessible to non-experts and expanding the potential for teleoperation in fields from manufacturing to healthcare.
Research Focus
Key Achievements
Top Papers
- 1Goal-predictive robotic teleoperation from noisy sensors20 citations · 2017