Jincheng Mao

Papers

Total Citations

H-Index

About

Jincheng Mao is a researcher specializing in robotics and automation, with a particular focus on multi-robot systems, calibration methodologies, and agricultural robotics. His work addresses critical challenges in precision manufacturing and food processing automation. Mao’s most cited paper, "Fast Calibration Method for Base Coordinates of the Dual-Robot Based on Three-Point Measurement Calibration Method" (2023, 11 citations), introduces an efficient technique for aligning dual-robot systems, enabling higher precision and load capacity in collaborative operations—a foundational contribution to industrial robotics. In another notable study, "Kinematics Analysis and Trajectory Planning of Segmentation Robot for Chilled Sheep Carcass" (2021, 4 citations), Mao developed an automated segmentation robot to enhance efficiency in meat processing, combining mechanical property analysis with motion modeling to optimize cutting paths. This work demonstrates his ability to bridge theoretical kinematics with practical, real-world applications. With a growing citation record, Mao’s research is shaping advancements in robotic calibration and automation, offering valuable insights for students and engineers interested in multi-robot coordination and agricultural robotics. His achievements highlight a commitment to solving complex problems through innovative, applied robotics.