Papers
9
Total Citations
115
H-Index
5
About
Haiqing Yang’s research bridges two distinct worlds: the precise control of flexible-link robots and the nondestructive sensing of agricultural produce. In robotics, Yang tackled the fundamental challenge of tip-trajectory tracking for flexible manipulators—systems notorious for their nonminimum phase dynamics. By pioneering output redefinition techniques, Yang transformed these systems into minimum phase, enabling asymptotic tracking of tip positions. This work, published in top venues and cited over 70 times collectively, laid the groundwork for vibration-free motion control using shaped input commands and modal feedback. Yang’s contributions extend to practical implementations, including rest-to-rest commands that eliminate residual vibration in finite time. In a striking pivot, Yang applied optical sensing to agriculture, using visible-near-infrared (Vis-NIR) spectroscopy for in situ determination of tomato growing stages and harvest time. This nondestructive method, detailed in papers with over 30 citations, supports robotic harvesting automation. Yang’s ability to move from theoretical control design to applied agricultural technology demonstrates remarkable versatility, making contributions that are both mathematically rigorous and practically impactful.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4A simple rest-to-rest control command for a flexible link robot18 citations · 2002
- 5Remote Sensing Technique for Predicting Harvest Time of Tomatoes12 citations · 2011
- 6Control of a tip-loaded flexible-link robot using shaped input command4 citations · 1998
- 7
- 8
- 9