Pei Yuan
Papers
1
Total Citations
6
H-Index
1
About
Pei Yuan is a robotics researcher whose work centers on advancing humanoid robot control and teleoperation systems, with a particular focus on real-time explicit mapping and posture constraint management. Their most-cited paper, "A real-time explicit mapping and teleoperation control method for humanoid robots with posture constraints" (2022), has garnered 6 citations, reflecting its early impact in a niche but rapidly evolving field. Yuan’s major contribution lies in developing methods that enable intuitive, stable teleoperation of humanoid robots by explicitly mapping human motion to robot kinematics while respecting physical posture limitations—a critical step toward safer and more efficient human-robot interaction. This work addresses fundamental challenges in balancing real-time responsiveness with constraint satisfaction, offering practical solutions for applications in remote manipulation, disaster response, and assistive robotics. By bridging the gap between human intent and robot execution, Yuan’s research lays groundwork for more autonomous and adaptable humanoid systems. Their achievements demonstrate a commitment to solving real-world control problems, making their work valuable for students and researchers exploring teleoperation, motion planning, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1