Yangyang Mao
Papers
1
Total Citations
9
H-Index
1
About
Yangyang Mao is a researcher focused on advancing robotic manufacturing, particularly in precision material removal processes like belt grinding. His work addresses the critical challenge of integrating trajectory planning and force control under multiple constraints to improve surface quality and consistency in automated finishing. His 2017 paper, "Trajectory and Force Generation with Multi-constraints for Robotic Belt Grinding," has garnered 9 citations, reflecting its foundational role in developing more adaptive and reliable robotic systems for industrial applications. By combining kinematic constraints with real-time force feedback, Mao’s contributions help bridge the gap between theoretical robotics and practical machining, enabling robots to handle complex geometries and variable workpiece conditions. His research is significant for industries such as aerospace and automotive, where precision grinding is essential. Mao’s work stands out for its systematic approach to multi-constraint optimization, offering a pathway toward more intelligent and efficient manufacturing automation.
Research Focus
Key Achievements
Top Papers
- 1