Papers

2

Total Citations

103

H-Index

2

About

Guy-Junior Richard is a researcher at the forefront of human-robot collaboration, with a primary focus on ergonomics and machine learning for industrial applications. His work addresses the critical challenge of improving workplace conditions by endowing collaborative robots with a sophisticated awareness of human state and ergonomic risk. Richard’s most impactful contribution, the 2019 paper *"Human movement and ergonomics: An industry-oriented dataset for collaborative robotics"* (100 citations), provides a foundational resource for the field. This dataset, known as "AndyData-lab-onePerson," captures motion and force measurements from 13 participants performing manual tasks—such as setting screws at various heights—mimicking real industrial activities. By including detailed annotations of actions and postures, Richard’s work enables the development of machine learning models that can detect and mitigate poor ergonomic conditions in real time. His research is pivotal for creating safer, more adaptive human-robot workspaces, directly contributing to the next generation of intelligent manufacturing systems. Richard’s datasets and methodologies are widely used by researchers aiming to reduce workplace injuries and enhance productivity through collaborative robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
103
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Human movement and ergonomics: An industry-oriented dataset for collaborative robotics
100 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Centre National de la Recherche Scientifique, Université de Lorraine

Top Papers

  1. 1
  2. 2
    AndyData-lab-onePerson
    3 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago