Yangyang Geng
Papers
1
Total Citations
2
H-Index
1
About
Yangyang Geng is a researcher focused on intelligent vehicle control systems, with particular expertise in trajectory tracking algorithms and autonomous navigation for mobile robots. His most-cited work introduces a novel MPC-PID-based double-loop control architecture designed specifically for differential-steering intelligent sweeping vehicles, addressing critical challenges in real-time precision and robustness against sensor noise, tire slip, and skid. This hybrid approach combines the predictive capabilities of Model Predictive Control with the simplicity and responsiveness of PID control, significantly enhancing the adaptability of autonomous cleaning robots in dynamic, unstructured environments. With 2 citations since its 2025 publication, Geng’s research directly contributes to the practical deployment of intelligent sweeping vehicles, bridging the gap between theoretical control design and real-world operational constraints. His work is particularly valuable for researchers and engineers developing cost-effective, high-performance autonomous systems for urban sanitation and industrial cleaning applications, where reliability under uncertain conditions is paramount.
Research Focus
Key Achievements
Top Papers
- 1