About

De-Yi Wang is a researcher whose work sits at the intersection of advanced manufacturing, robotics, and intelligent systems. His contributions span three key areas: automated 3D printing, high-strength mechanical design for robotic platforms, and smart data acquisition for complex automation tasks. In his most cited work (2023, 13 citations), Wang developed a robotically automated platform for pellet-based 3D printing, enabling systematic parameter exploration and mechanical characterization of thermoplastic specimens—a significant step toward scalable, high-throughput additive manufacturing. He has also conducted foundational studies on planetary threaded roller bearings (2020, 5 citations), analyzing load distribution to support structural optimization for mountain-walking robots. More recently, Wang introduced an intelligent data recorder for Chinese cuisine cooking (2024, 3 citations), tackling the challenge of automating a highly variable, data-intensive culinary process. This work demonstrates his ability to apply embedded systems and user-centered design to real-world automation problems. By bridging robotics, materials testing, and intelligent sensing, Wang is building practical solutions that advance both manufacturing efficiency and autonomous system capabilities.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robotically automated 3D printing and testing of thermoplastic material specimens
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: IMDEA Materials, China Aerospace Science and Technology Corporation, Guangdong Polytechnic Normal University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago