Guo-qing Hu
Papers
1
Total Citations
68
H-Index
1
About
Guo-qing Hu is a leading researcher in robotics and control systems, with a primary focus on trajectory planning and motion optimization for robotic manipulators. His most notable contribution is the development of a novel time-optimal trajectory planning approach that simultaneously respects torque and jerk constraints, addressing a critical challenge in industrial robotics. This work, published in 2021 and garnering 68 citations, has become a cornerstone for researchers seeking to balance speed, safety, and precision in automated systems. Hu's approach enables robots to achieve faster cycle times without exceeding physical actuator limits or causing excessive wear, directly impacting manufacturing efficiency and collaborative robotics. His research bridges theoretical optimization with practical implementation, making him a key figure in advancing robot motion control. By integrating jerk limits—often overlooked in prior work—Hu has improved trajectory smoothness, reducing vibration and enhancing task accuracy. His contributions are widely cited in studies on autonomous systems, human-robot interaction, and high-speed automation, reflecting his influence on both academic and industrial applications.
Research Focus
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Top Papers
- 1