Yaoyao Tuo
Papers
1
Total Citations
2
H-Index
1
About
Yaoyao Tuo is a researcher advancing the frontiers of robotic interaction and control systems, with a primary focus on adaptive force-tracking and impedance control. Their work addresses a critical challenge in modern robotics: enabling machines to interact safely and flexibly with unknown or varying environments. Tuo’s key contribution lies in integrating impedance control with hybrid force/position strategies, enhanced by fuzzy logic and fractional-order PI adaptive algorithms, to achieve superior pliability and precision in robot-environment interactions. This approach overcomes the limitations of traditional position control, offering robust performance even under uncertain conditions. While their most-cited paper, “Adaptive Force-Tracking Impedance Control Based on Fuzzy Logic Under Unknown and Varying Environment” (2023), has garnered 2 citations, it represents a foundational step toward more intelligent and responsive robotic systems. Tuo’s work is particularly relevant for applications in manufacturing, healthcare, and service robotics, where safe and adaptive physical interaction is paramount. By bridging control theory with practical adaptability, Tuo is contributing to the next generation of robots that can seamlessly collaborate with humans in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1