Xingbo
Papers
1
Total Citations
2
H-Index
1
About
Xingbo’s research lies at the intersection of industrial robotics and adaptive control, with a focus on enhancing robotic precision and autonomy in manufacturing environments. His most influential work, "Adaptive hybrid force/position control for an industrial robot: theory and experiments" (2010), introduces a novel framework that seamlessly integrates force and position control to enable robots to perform complex tasks—such as assembly or surface finishing—with greater accuracy and safety. By adapting control parameters in real time, this approach allows robots to handle uncertain or varying contact forces, a critical advancement for human-robot collaboration and flexible automation. Although cited modestly at 2 times, the paper’s theoretical rigor and experimental validation have informed subsequent studies in adaptive manipulation and compliant control. Xingbo’s contributions underscore the practical challenges of bridging control theory with real-world robotic systems, offering a foundation for engineers seeking to improve robot dexterity and reliability. His work continues to inspire researchers exploring adaptive strategies for next-generation industrial robots, where precision and adaptability are paramount.
Research Focus
Key Achievements
Top Papers
- 1