Yanming Cheng
Papers
2
Total Citations
75
H-Index
2
About
Yanming Cheng is a leading researcher in robotics and intelligent control systems, with a primary focus on high-speed parallel robots and their industrial applications. His major contributions lie in advancing trajectory planning and motion control for Delta robots, particularly in packaging and automation contexts. Cheng’s most cited work, "An improved PSO algorithm for time-optimal trajectory planning of Delta robot in intelligent packaging" (2019, 59 citations), introduces a particle swarm optimization approach that significantly reduces motion time while maintaining precision—a breakthrough for high-speed manufacturing. His subsequent research on a Linear Active Disturbance Rejection Control (LADRC) strategy for trajectory tracking (2020, 16 citations) further enhances robot stability by achieving decoupled control through real-time disturbance observation, enabling smoother and more accurate motion in dynamic environments. These contributions have established Cheng as a key figure in the optimization of Delta parallel robots, bridging theoretical control methods with practical industrial needs. His work is widely cited by researchers in robotics, mechatronics, and intelligent manufacturing, reflecting its impact on both academic study and real-world automation systems.
Research Focus
Key Achievements
Top Papers
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