Yijun Zhou
Papers
4
Total Citations
44
H-Index
4
About
Yijun Zhou is a pioneering researcher in advanced manufacturing and robotics, with a primary focus on multi-robot coordination, wire and arc additive manufacturing (WAAM), and soft robotics for directed energy deposition. His most impactful work, "Allocation and scheduling of deposition paths in a layer for multi-robot coordinated wire and arc additive manufacturing of large-scale parts" (2024, 22 citations), introduces a novel method to overcome the factorial computational complexity of optimizing robot time, workload, and deposition order—a critical step toward scalable, large-scale metal part fabrication. Zhou also contributed to quadruped robot locomotion with "Crawling Gait Planning Based on Foot Trajectory Optimization" (2019, 12 citations), where a compound cycloid-based gait planning method resolves leg dragging and obstacle climbing challenges. His recent innovations include calibrating multi-robot coordinates using cross-source 3D point cloud models (2024, 6 citations) and prototyping a tendon-driven soft robotic gun for wire-arc DED (2024, 4 citations), which enhances flexibility in space-constrained environments. With a growing citation record and a clear trajectory toward integrating soft robotics into industrial manufacturing, Zhou’s work is shaping the future of automated, large-scale additive production.
Research Focus
Key Achievements
Top Papers
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