Xinggang Luo

About

Xinggang Luo is a leading researcher in the field of human-robot collaboration and smart manufacturing, with a particular focus on optimizing the synergy between humans and automated systems. His work centers on task allocation strategies that balance ergonomics, assembly complexity, and workload in hybrid assembly cells, a critical challenge for modern customized production. Luo’s major contributions include developing frameworks for human-robot collaborative hybrid assembly cells (HRCHACs), where he has shown how collaborative robots can boost productivity while ensuring worker safety and comfort. His most cited paper (2022, 33 citations) introduces task allocation strategies that consider both task matching and ergonomics, a foundational piece for the field. He has also advanced safety evaluation methods for industrial exoskeletons (2023, 17 citations) and explored how transparency in human-robot interaction affects trust and workload (2025). Beyond assembly, Luo addresses sustainability through joint optimization of low-carbon product families and smart production lines (2023, 10 citations). With a growing citation record and a focus on practical, human-centered automation, Luo’s work is shaping the future of collaborative manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Task allocation strategies considering task matching and ergonomics in the human-robot collaborative hybrid assembly cell

   33 citations · 2022
2. 2
   Task allocation of human-robot collaborative assembly line considering assembly complexity and workload balance

   18 citations · 2025
3. 3
   Safety evaluation of human–robot collaboration for industrial exoskeleton

   17 citations · 2023
4. 4
   Joint optimization of low-carbon product family configuration and smart production line selection

   10 citations · 2023
5. 5
   How Transparency Shapes the Quality of Human-Robot Interaction: An Examination of Trust, Perception, and Workload

   4 citations · 2025

Key Collaborators

Contact & Links