Jiakai Chen
Papers
2
Total Citations
66
H-Index
2
About
Jiakai Chen is a leading researcher in robotics, specializing in the design, calibration, and stiffness evaluation of advanced robotic systems for large-scale industrial applications. His work focuses on hybrid mobile robots and adsorption robots, addressing critical challenges in the flexible and economical processing of large-scale structural parts. Chen’s major contributions include developing elasto-geometrical calibration methods that account for gravity deformation and stiffness parameter errors, significantly improving the accuracy and reliability of hybrid mobile robots. His research on adsorption robots has demonstrated innovative solutions for efficient, flexible machining of large components, with his most cited paper, “Elasto-geometrical calibration of a hybrid mobile robot considering gravity deformation and stiffness parameter errors” (2022, 36 citations), and “Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing” (2021, 30 citations) highlighting his impact. Chen’s work is notable for bridging theoretical modeling with practical applications, offering cost-effective and high-precision alternatives for industries such as aerospace and shipbuilding. His achievements underscore a commitment to advancing robotic automation for complex, large-scale manufacturing challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2