About

Nathalie Klement’s research sits at the intersection of Industry 4.0, human-robot collaboration, and lean manufacturing, with a focus on designing more efficient, ergonomic, and reconfigurable production systems. Her major contributions include developing frameworks for integrating collaborative robots (cobots) into assembly processes, where she has shown that cobots can simultaneously boost economic performance and improve operator ergonomics. Her work on task allocation and multiple collaboration modes between humans and robots has been foundational, earning her most-cited paper, “Process optimisation using collaborative robots – comparative case study” (24 citations), and the closely followed “Economic and ergonomic performance enhancement in assembly process through multiple collaboration modes” (22 citations). Klement has also advanced reconfigurable production systems, proposing hybrid optimisation approaches for sequencing and assignment decisions in reconfigurable assembly lines (14 citations). Beyond manufacturing, she has applied robotic optimisation to horticulture, exploring UV-C treatment of plant diseases. Her user-centered design study for a collaborative recycling operation further underscores her commitment to placing human operators at the heart of automation. With a growing body of work that bridges theoretical optimisation and practical implementation, Klement is shaping how factories of the future will balance productivity, flexibility, and worker well-being.

Research Focus

Key Achievements

7
H-Index
12
Papers
118
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Process optimisation using collaborative robots - comparative case study
24 citations · 2019
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Laboratoire d’Ingénierie des Systèmes Physiques et Numériques, HESAM Université, École nationale supérieure d'arts et métiers

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago