Aiqing Wen
Papers
1
Total Citations
2
H-Index
1
About
Aiqing Wen is a researcher at the forefront of human-robot collaboration and intelligent manufacturing, with a focus on bridging the gap between Industry 4.0 automation and the human-centric vision of Industry 5.0. Their work centers on developing algorithms that enable safe, real-time cooperation between humans and robots, particularly in complex environments. A notable contribution is the creation of a human-robot collaboration dataset for cooperative assembly in glovebox environments, a critical step for advancing AI-driven manufacturing in controlled settings. This dataset, published in 2024, has already garnered early citations, reflecting its relevance to the field. Wen’s research emphasizes the role of humans as expert collaborators guiding AI systems, ensuring that technological progress enhances rather than replaces human expertise. By tackling challenges in real-time interaction and safety, Wen is helping to shape the future of manufacturing where humans and robots work seamlessly together. Their work is essential for students and researchers interested in the practical implementation of collaborative robotics and the evolution of smart factories.
Research Focus
Key Achievements
Top Papers
- 1