Tai-Xiang Mao
Papers
2
Total Citations
14
H-Index
2
About
Tai-Xiang Mao is a robotics researcher whose work centers on robotic assembly modeling, trajectory planning, and precision motion control. His most influential contribution is the development of a novel robotic assembly modeling and trajectory planning method using synchronized Petri nets, which provides a formal, graphical framework for coordinating complex assembly operations. This work, published in 2004, has garnered 10 citations and remains a reference for researchers seeking structured approaches to robotic task sequencing. Mao also made significant strides in addressing the challenge of nonlinear friction in robot trajectory tracking. In a 2004 paper cited 4 times, he proposed an improved compensation method that modifies the traditional Southward's approach, enabling more accurate tracking performance by mitigating the degrading effects of friction on robotic systems. While his citation counts are modest, Mao's contributions are notable for their practical focus on real-world robotic challenges—assembly coordination and friction compensation—that directly impact industrial automation and precision control. His work offers foundational insights for students and researchers interested in the intersection of discrete-event modeling and continuous motion control in robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2The nonlinear friction compensation in the trajectory tracking of robot4 citations · 2004