Papers
3
Total Citations
14
H-Index
2
About
Guoliang Zhang is a researcher whose work spans the critical intersection of space robotics, autonomous navigation, and intelligent control systems. His foundational contribution, "A hybrid visual servoing control of 4 DOFs space robot" (2009, 8 citations), established a pioneering dual-camera framework—combining eye-in-hand and eye-to-hand configurations—to enhance precision and workspace exploration for space-based manipulators. This early work laid the groundwork for his subsequent advances in terrestrial mobile robotics. In "Tracking Control of Wheeled Mobile Robot Based on MMPC" (2023, 2 citations), Zhang addressed persistent challenges in autonomous ground vehicles by developing a modified model predictive control scheme that integrates feedforward and feedback loops, significantly reducing steady-state errors. Most recently, his 2024 paper on pedestrian trajectory prediction (4 citations) tackles a core problem in autonomous driving and intelligent robotics: enabling machines to anticipate human movement. By enhancing generative adversarial networks with explicit scene constraints, Zhang’s approach overcomes the limitations of purely social models, offering safer, more context-aware navigation. His trajectory from space-based servoing to ground-level prediction reflects a sustained commitment to bridging perception, control, and real-world interaction.
Research Focus
Key Achievements
Top Papers
- 1A hybrid visual servoing control of 4 DOFs space robot8 citations · 2009
- 2
- 3Tracking Control of Wheeled Mobile Robot Based on MMPC2 citations · 2023