Kunpeng Peng
Papers
1
Total Citations
2
H-Index
1
About
Kunpeng Peng is a researcher advancing the field of intelligent manufacturing and robotic automation, with a primary focus on precision assembly and vision-guided systems. His most notable contribution is the development of a bolt fastening robot system that integrates hybrid vision technology, addressing critical challenges in automated assembly processes. In his highly cited 2025 paper, Peng systematically analyzes how process parameters—such as torque, speed, and visual feedback—affect fastening performance, offering both theoretical insights and practical guidelines for improving joint reliability in industrial applications. This work bridges the gap between computer vision and robotic manipulation, enabling more adaptive and error-tolerant manufacturing systems. With 2 citations already for this recent publication, Peng’s research is gaining traction among engineers and researchers working on smart factories and Industry 4.0. His approach not only enhances the precision of robotic fastening but also reduces human error and increases throughput in production lines. Peng’s work stands out for its rigorous experimental validation and its potential to transform traditional assembly processes into fully automated, vision-driven operations, making him a rising voice in the intersection of robotics, machine vision, and manufacturing science.
Research Focus
Key Achievements
Top Papers
- 1