Yinglun Jian
Papers
5
Total Citations
33
H-Index
3
About
Yinglun Jian is a pioneering robotics researcher whose work sits at the intersection of agricultural automation and surgical precision. His primary research areas include kinematic design, parallel robotics, and remote center-of-motion (RCM) mechanisms, with applications spanning both crop harvesting and minimally invasive surgery. Jian’s most cited paper, “Kinematic design of new robot end-effectors for harvesting using deployable scissor mechanisms” (2024, 17 citations), addresses the critical challenge of labor shortages in agriculture by proposing novel, deployable end-effectors that can gently and efficiently harvest crops like apples and peppers. In the medical domain, he has made significant contributions to eye surgery, notably through his work on a parallel robot with RCM (2024, 7 citations) and a 7-degree-of-freedom 2-PRRRRR parallel robot (2020, 4 citations), both designed to overcome the shortage of qualified surgeons by enabling precise, automated procedures. His recent designs for two-limb and 3R1T parallel robots further extend his impact into minimally invasive surgery. With a growing citation record and a clear focus on translating complex kinematics into real-world solutions, Jian is establishing himself as a key figure in the development of next-generation robotic systems for both field and operating room.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5