Geyang Yu
Papers
1
Total Citations
7
H-Index
1
About
Geyang Yu is a researcher focused on advancing robotic manufacturing and optimization, with a particular emphasis on multi-objective path planning and redundancy resolution in industrial robotics. Their most-cited work, "Multi-Objective Redundancy Optimization of Continuous-Point Robot Milling Path in Shipbuilding" (2022, 7 citations), addresses a critical challenge in applying 6-DOF manipulators to shipbuilding: the functional redundancy of end-effector rotation along the tool axis during five-axis machining. By developing a multi-objective optimization framework, Yu enables more efficient and flexible robotic milling paths, leveraging the manipulator’s vast working space and low power consumption to transform traditional shipbuilding processes. This contribution highlights Yu’s expertise in bridging robotics theory with practical industrial applications, offering solutions that enhance automation in complex manufacturing environments. With a growing citation impact, Yu’s work is gaining recognition among researchers in robotics, manufacturing optimization, and shipbuilding automation, positioning them as an emerging voice in the field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1