Papers
2
Total Citations
12
H-Index
2
About
Jian Tian’s research lies at the intersection of bio-inspired robotics and advanced control systems, with a focus on underwater sensing and space robotics. His most cited work, “Optimal Sensor Placement of the Artificial Lateral Line for Flow Parametric Identification” (2021, 8 citations), addresses a critical challenge in underwater robotic fish: optimizing sensor placement on artificial lateral line systems to improve flow-field parameter identification for closed-loop control. This contribution enhances the autonomy and efficiency of bio-inspired underwater vehicles. In his more recent study, “Dual-observer-based composite robust vibration control for a rigid-flexible hybrid space robot-target combination” (2025, 4 citations), Tian tackles vibration suppression in complex space robotic systems, proposing a dual-observer framework to ensure stability during target manipulation. His work bridges practical engineering challenges—sensor optimization and robust control—with applications in both aquatic and extraterrestrial environments. With a growing citation record, Tian’s research demonstrates significant potential for advancing autonomous robotic systems in unstructured settings, making him a promising figure in the field of intelligent robotics and control.
Research Focus
Key Achievements
Top Papers
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