Papers
3
Total Citations
37
H-Index
3
About
Jinlu Ni is a leading researcher in the field of robotics, with a primary focus on the control and optimization of high-speed parallel robots, particularly delta robots. Their work addresses the fundamental challenges of these highly nonlinear systems, which are critical in industries like food, medicine, electronics, and military manufacturing. Ni’s major contributions include pioneering a trajectory tracking control method for delta robots using a disturbance observer, which effectively manages strongly uncertain dynamics. This work, published in 2020, has garnered 16 citations for its practical impact on controller design. Additionally, Ni developed a novel trajectory planning approach that balances motion smoothness and dynamic stress, identifying optimal normalized time factors to enhance performance; this 2022 paper has received 15 citations. Another significant achievement is a hierarchical method for simplifying rigid-body dynamics models, enabling real-time control of high-speed parallel robots without sacrificing precision. This 2021 work, with 6 citations, is noted for its innovative approach to model simplification by considering kinematics performance. Ni’s research is distinguished by its direct applicability to industrial automation, making complex robotic systems more efficient and reliable.
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