Pingyun Nie
Papers
3
Total Citations
25
H-Index
2
About
Pingyun Nie is a robotics researcher specializing in control systems, human-robot interaction, and state estimation for elastic joint robots. Their major contributions focus on overcoming the technical challenge of acquiring joint acceleration feedback—a critical component for designing robust controllers and observers in physical human-robot interaction. Nie proposed a joint acceleration estimation method based on a high-order disturbance observer, which addresses the difficulty of directly measuring joint accelerations in robotic systems. This work, cited 14 times, has advanced the reliability of dynamics-based control approaches. Additionally, Nie developed a variable structure passivity control method for elastic joint robots, leveraging cascaded high-order state estimation to enhance stability and performance. Their research also includes constant force tracking using dynamical systems with external force estimation, demonstrating applications in precision tasks. With a growing citation impact, Nie’s work is foundational for improving robot safety and adaptability in collaborative environments, making significant strides in both theoretical and practical aspects of modern robotics.
Research Focus
Key Achievements
Top Papers
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