Papers
2
Total Citations
157
H-Index
2
About
Jianxiao Zou is a leading researcher in human-robot collaboration and intelligent control systems, whose work bridges the gap between human intention and robotic precision. His most influential contribution, the 2019 paper "Bayesian Estimation of Human Impedance and Motion Intention for Human–Robot Collaboration," has garnered 150 citations, establishing a foundational method for estimating human stiffness and motion intent using Bayesian inference. This approach allows robots to adapt their behavior in real-time, enabling safer and more intuitive physical interactions between humans and machines. More recently, Zou has advanced the field with his 2025 work on a novel MPC-NNSMC composite control method for robotic manipulators, addressing critical challenges of uncertainties and constraints in dynamic environments. His research integrates probabilistic modeling with control theory, offering robust solutions for collaborative robotics. Zou's contributions are particularly significant for applications in manufacturing, rehabilitation, and assistive technologies, where understanding and predicting human motion is essential. His work continues to shape the development of adaptive, human-aware robotic systems that prioritize safety and efficiency.
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