Jingfu Peng

Papers

Total Citations

127

H-Index

About

Dr. Jingfu Peng is a leading researcher in robotic machining and manufacturing automation, with a focused expertise in path optimization and kinematic calibration for industrial robots. His work addresses critical challenges in precision and efficiency for robotic milling processes, where smoothness and accuracy are paramount. Dr. Peng’s most influential contribution is his development of a smoothness-oriented path optimization method for robotic milling, which has garnered 56 citations and is widely recognized for improving surface quality and reducing machining time. He further advanced the field with an enhanced kinematic model for calibrating robotic systems with parallelogram mechanisms (41 citations), enabling higher positioning accuracy in complex setups. His analytical method for decoupled local smoothing of linear paths (30 citations) provides a computationally efficient solution for real-time robot control. Collectively, his work has been cited over 127 times, reflecting its significant impact on both academic research and industrial applications. Dr. Peng’s contributions are essential reading for engineers and researchers seeking to enhance the performance and reliability of robotic machining systems.