Papers
1
Total Citations
15
H-Index
1
About
Jiayun Shen’s research centers on humanoid robotics, human-robot interaction, and motion control systems. Their most notable contribution is the development of lower-body control strategies for the NAO humanoid robot using Microsoft Kinect sensors—a pioneering approach that enables intuitive, real-time teleoperation without complex programming. This work, published in 2017, has accumulated 15 citations and demonstrates how accessible hardware can bridge the gap between human movement and robotic action, making humanoid control more practical for education and research. By integrating vision-based motion capture with robotic kinematics, Shen has advanced the field of assistive robotics, particularly in scenarios requiring remote or safe human-robot collaboration. Their research highlights the potential for low-cost sensors to democratize humanoid control, inspiring subsequent studies in gesture-driven interfaces and rehabilitation robotics. Shen’s contributions are especially valuable for students and researchers exploring affordable solutions in humanoid locomotion and interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1Lower-body control of humanoid robot NAO via Kinect15 citations · 2017