Papers

3

Total Citations

7

H-Index

2

About

Yaling Tian is a robotics researcher whose work focuses on advancing robotic manipulation and control systems for industrial automation. Her primary research areas include kinematics analysis, trajectory planning, and flexible control strategies for specialized robotic systems. Tian has made significant contributions to the development of precise control mechanisms for rope-driven serpentine robotic arms, proposing innovative strategies that simultaneously ensure position accuracy and contact force control—a critical challenge in delicate manipulation tasks. Her work on lightweight robots with fewer degrees of freedom addresses the growing demand for cost-effective automation solutions in manufacturing, particularly for detecting and sorting stations. With her most-cited papers accumulating citations in 2023, Tian’s research is gaining recognition for its practical applications in industrial settings. Her studies on the UR5 robot’s kinematics and trajectory planning provide foundational insights for achieving precise robot control, while her exploration of terminal flexibility control strategies demonstrates her ability to solve complex, real-world engineering problems. Tian’s contributions are shaping the next generation of adaptable, efficient robotic systems for modern manufacturing environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Kinematics Analysis and Trajectory Planning of UR5 Robot
3 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Qingdao University of Technology, Chengdu Technological University, Chengdu University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago