Shuping Jin
Papers
1
Total Citations
2
H-Index
1
About
Shuping Jin is a robotics researcher whose work focuses on advancing human-robot cooperation through innovative control strategies. Her key research areas include iterative learning control, robot manipulator dynamics, and adaptive human-robot interaction systems. Her most-cited paper, "Dual-Loop Iterative Learning Control of Robot Manipulator for Human-Robot Cooperation" (2021), introduces a novel dual-loop framework that leverages contact force between humans and manipulators to generate unknown desired trajectories in repetitive interaction tasks. This work addresses critical challenges in making robots more responsive and intuitive partners in collaborative environments. While still early in her career, Jin's contributions are laying important groundwork for safer and more efficient human-robot collaboration, with potential applications in manufacturing, healthcare, and assistive robotics. Her research bridges theoretical control methods with practical implementation, offering valuable insights for students and researchers interested in the intersection of robotics, control theory, and human-centered design.
Research Focus
Key Achievements
Top Papers
- 1