Xiang-Feng Ma
Papers
2
Total Citations
6
H-Index
2
About
Xiang-Feng Ma is a robotics researcher whose work focuses on the dynamic modeling and computation of complex robotic systems, particularly those containing closed kinematic chains. His major contributions lie in developing novel recursive algorithms that bridge Kane’s dynamic equations with Newton-Euler formulations, offering a general-purpose computational approach that is both efficient and easily implementable on computers. Unlike earlier methods, Ma’s algorithms are versatile, applicable to robots with various joint types—not just rotary joints—making them valuable for real-world robotic manipulators. His 1999 and 2002 papers, each cited 3 times, lay foundational groundwork for advancing robot dynamics by simplifying the modeling of closed-chain mechanisms, a notoriously challenging area in robotics. While his citation counts are modest, these works represent early, targeted efforts to address computational bottlenecks in robot dynamics, contributing to the broader field’s evolution. Ma’s research is particularly relevant for students and engineers interested in the intersection of theoretical mechanics and practical robotic control, offering clear, computer-friendly solutions for dynamic analysis.
Research Focus
Key Achievements
Top Papers
- 1
- 2