Jinqiang Li
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jinqiang Li is a leading voice in the future of manufacturing, specializing in human-robot collaboration (HRC) and vision-based intention recognition for Industry 5.0. His work directly addresses the shift toward human-centric smart manufacturing, where robots must adapt proactively to human workers rather than simply following pre-programmed routines. Li’s most cited paper, a 2025 systematic review on proactive human assembly intention recognition, has already garnered 6 citations, establishing a foundational framework for enabling robots to anticipate and respond to human actions in flexible assembly environments. This contribution is critical for achieving adaptive, ergonomic, and efficient collaboration in mass personalization. By synthesizing advances in computer vision and machine learning, Li provides a roadmap for making industrial robots intuitive partners rather than tools. His research is essential reading for engineers and scholars working at the intersection of AI, manufacturing, and human factors, promising to redefine productivity and worker well-being in the factories of tomorrow.
Research Focus
Key Achievements
Top Papers
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