Papers
1
Total Citations
16
H-Index
1
About
Ziyan Ma is a researcher in robotics and control systems, with a primary focus on the dynamic modeling and parameter identification of redundant manipulators. Their key contributions lie in improving the accuracy and reliability of robotic manipulator simulations and control by developing advanced methods for identifying dynamic parameters. Notably, Ma’s 2021 work, “An improved parameter identification method of redundant manipulator,” has garnered 16 citations, reflecting its value in enabling more precise dynamic models essential for complex manipulation tasks. This research addresses critical challenges in redundant manipulator control, where accurate parameter estimation is vital for performance and safety. Ma’s work supports advancements in industrial automation, human-robot collaboration, and autonomous systems, offering practical solutions for real-world robotic applications. By enhancing the fidelity of dynamic models, Ma contributes to the broader goal of making robotic systems more efficient, adaptable, and reliable. Their research continues to influence the field of robotics, particularly in the area of manipulator dynamics and control.
Research Focus
Key Achievements
Top Papers
- 1An improved parameter identification method of redundant manipulator16 citations · 2021