Papers
3
Total Citations
76
H-Index
3
About
Yonghua Liu is a leading researcher in the field of mobile manipulation and intelligent robotics, with a focus on whole-body control, adaptive systems, and sensor fusion. His most influential work, "Whole-Body Control of an Autonomous Mobile Manipulator Using Model Predictive Control and Adaptive Fuzzy Technique" (2022, 45 citations), addresses a critical gap in robotics by enabling whole-body manipulation and optimization under unknown dynamics—a significant advancement over traditional frameworks that require known system models. Liu’s research also tackles real-world challenges in mobile robotics, as seen in his 2023 study on differential flatness-based adaptive robust tracking control for wheeled mobile robots under slippage disturbances (28 citations), offering robust solutions for dynamic environments. Additionally, his work on hand-eye calibration for intelligent picking robots (2021) integrates multiple photoelectric sensors for precise pose estimation, advancing automation in agriculture and manufacturing. With a growing citation impact, Liu’s contributions are shaping the next generation of autonomous systems, particularly in adaptive control and sensor-driven manipulation, making his research essential for engineers and scientists developing resilient, high-performance robots for complex, unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3