Jia-Qing Song
Papers
2
Total Citations
8
H-Index
2
About
Jia-Qing Song is a robotics researcher whose work focuses on the control and navigation of wheeled mobile robots (WMRs), particularly under the challenging conditions of system delays. Song’s primary contributions lie in developing advanced modeling and predictive tracking control strategies that address the real-world complications of sensor and control delays in nonholonomic robotic systems. In their highly cited 2020 paper, "Modeling and Optimal Tracking Control for WMR Systems with Control Delay," Song established a foundational framework for state-space representation and optimal tracking of WMRs under control delay, earning 5 citations. Building on this, their 2022 work, "Predictive Tracking Control for WMR Systems with Sensor and Control Delays," extended the approach to handle both sensor and control delays simultaneously, a significant step toward robust, real-time autonomous navigation. Though early in their career, Song’s research is gaining traction for its practical relevance to autonomous vehicles and mobile robotics, where delay compensation is critical for safety and precision. Their work is particularly valuable for students and engineers seeking to bridge theoretical control theory with the messy realities of robotic hardware.
Research Focus
Key Achievements
Top Papers
- 1Modeling and Optimal Tracking Control for WMR Systems with Control Delay5 citations · 2020
- 2