Ting Liang
Papers
1
Total Citations
9
H-Index
1
About
Ting Liang is a robotics researcher whose work focuses on the efficient computation of robot dynamics, particularly through parallel processing. Liang's most notable contribution is the development of a decoupled parallel recursive Newton-Euler algorithm for inverse dynamics, published in 2002. This work addresses a fundamental challenge in robotics: performing real-time inverse dynamics calculations for complex manipulators. By partitioning the computations associated with each manipulator link across separate processors, Liang's algorithm enables a parallel architecture that significantly reduces computation time. This approach has been cited 9 times, reflecting its value to researchers working on high-performance control systems for robotic arms. Liang's work is particularly relevant for applications requiring fast, accurate torque calculations, such as industrial automation and advanced robotic manipulation. The algorithm's efficiency makes it a practical solution for real-time control, bridging the gap between theoretical dynamics formulations and hardware implementation. Liang's contributions continue to inform the design of parallel computing strategies in robotics.
Research Focus
Key Achievements
Top Papers
- 1Decoupled parallel recursive Newton-Euler algorithm for inverse dynamics9 citations · 2002