Papers
2
Total Citations
13
H-Index
1
About
Shengli Tian is a researcher advancing the frontiers of robotic manipulation and intelligent control systems. His primary research areas encompass teleoperation, computer vision, and precision electro-hydraulic control for construction robotics. Tian’s most impactful work, "Gesture- and vision-based automatic grasping and flexible placement in teleoperation" (2022, 12 citations), introduces a novel framework that integrates gesture recognition with visual feedback, enabling intuitive and adaptive robotic grasping—a key contribution to human-robot interaction. More recently, his 2025 study on "Precision control strategy of electro-hydraulic proportional system for shotcrete robotic arm based on PID-MPC" tackles critical challenges in nonlinear electro-hydraulic systems, specifically addressing slow dynamic response and hysteresis to optimize the performance of shotcrete robots under complex working conditions. This work demonstrates his commitment to solving real-world industrial problems through advanced control theory. With a growing citation record and a focus on bridging vision-based teleoperation with robust hydraulic actuation, Tian’s research is shaping the future of autonomous construction and remote manipulation systems.
Research Focus
Key Achievements
Top Papers
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