Fuchuan Zeng
Papers
1
Total Citations
2
H-Index
1
About
Fuchuan Zeng is a pioneering researcher in physical human–robot interaction (pHRI), specializing in the development of intelligent, compliant control systems that ensure safe and intuitive collaboration between humans and robots. His most cited work introduces a novel “rigid–flexible” controller that seamlessly integrates finite-time neural network terminal sliding mode control with adaptive admittance and robust integration. This design uniquely addresses the critical challenge of maintaining trajectory accuracy when guiding forces are combined with unexpected impacts—a common problem in real-world pHRI. By enabling the robot to remain both compliant and impact-resistant, Zeng’s controller significantly enhances safety and performance in interactive tasks. His research has already garnered attention, with his 2025 paper accumulating early citations that underscore its relevance to the field. Zeng’s contributions are particularly notable for their practical approach to interference mitigation, offering a robust solution that bridges theoretical control advances and real-world robotic applications. His work stands as a key reference for engineers and researchers seeking to develop more resilient and human-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
- 1