Yonglong He
Papers
4
Total Citations
25
H-Index
3
About
Yonglong He is a robotics and control systems researcher whose work centers on advanced motion control, trajectory planning, and sensing technologies for robotic systems. His most significant contributions lie in developing sophisticated control strategies for parallel and serial robot manipulators, particularly the Delta parallel robot — a platform widely used in high-speed industrial automation. He has pioneered hybrid control methodologies, most notably adaptive backstepping fractional-order non-singular sliding mode control, which addresses model inaccuracies and external disturbances to enhance motion stability in demanding applications. His trajectory smoothing research, which bridges Cartesian and joint space planning, tackles the real-world challenge of abrupt directional changes in small-segment paths, directly improving efficiency and precision in sorting, assembly, and precision machining tasks. Beyond motion control, He has expanded into soft robotics sensing, contributing a novel three-dimensional force decoupling soft sensor with topological elastomer architecture, advancing flexible manipulation and human-computer interaction. His adaptive fuzzy super-twisting sliding mode controller further demonstrates his commitment to robust, uncertainty-tolerant solutions for manipulator trajectory tracking. With cumulative citations reaching approximately 25 across recent publications, Yonglong He is an emerging voice in intelligent robotics control and represents a promising research trajectory in modern automation engineering.
Research Focus
Key Achievements
Top Papers
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