Yidong He
Papers
1
Total Citations
3
H-Index
1
About
Yidong He is a researcher at the forefront of human–robot interaction (HRI) and computer vision, with a particular focus on enabling robots to understand and operate in open, unstructured environments. His most notable contribution is the development of an integrated, in situ image acquisition and semi-automatic annotation scheme for training instance segmentation models. By leveraging eye-tracking technology, He’s approach dramatically reduces the labor-intensive manual effort traditionally required for data labeling, allowing for rapid, on-site dataset creation. This work, published in 2023 and already garnering 3 citations, addresses a critical bottleneck in deploying supervised machine learning models for real-world robotic applications. He’s research bridges the gap between efficient data collection and practical HRI, paving the way for more adaptive and intelligent robotic systems that can learn from and collaborate with humans in dynamic settings. His innovative methodology holds significant promise for advancing autonomous perception in open scenes.
Research Focus
Key Achievements
Top Papers
- 1