Papers
4
Total Citations
19
H-Index
3
About
Yujie Ji is a robotics researcher specializing in industrial automation, with a primary focus on welding and wafer-handling robotic systems. Their work addresses critical challenges in trajectory planning and control for complex manufacturing environments, particularly in shipbuilding and semiconductor industries. Ji’s most significant contributions include developing a composite adaptive fuzzy compensation controller for gantry welding robots, which achieves high-precision trajectory tracking under uncertain factors—a breakthrough for shipyard automation where long, varied welds require coordinated gantry and robotic arm movements. They also pioneered a multi-objective inverse solution optimization method for Cartesian space welding trajectories, comprehensively considering robot structure and real-world working conditions. More recently, Ji has advanced semiconductor manufacturing with a time-impact optimal trajectory planning approach for wafer-handling robotic arms using an improved snake optimization algorithm, reducing motion-induced vibration. With over 19 citations across their most-cited papers (2022–2025), Ji’s work directly enhances industrial efficiency and precision. Their research is particularly notable for tackling joint redundancy and dual-arm coordination problems, making complex welding operations more reliable and productive in heavy industries.
Research Focus
Key Achievements
Top Papers
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