Papers

2

Total Citations

15

H-Index

2

About

Dr. Pierre Slangen is a researcher at the forefront of human-robot collaboration and markerless motion capture technologies. His work centers on advancing intuitive interfaces between humans and machines, particularly in manufacturing environments. In his highly cited 2021 review of 3D human pose estimation algorithms, Dr. Slangen synthesized the state of the art in markerless motion capture—a field critical for enabling natural, non-invasive human-robot interaction. This foundational work has garnered 12 citations, reflecting its importance to researchers developing more fluid robotic control systems. More recently, Dr. Slangen has pioneered a remote human-robot collaboration system that replaces traditional keyboard controls with hand movement recognition, addressing the growing shift from manual assembly to robotic automation. His 2023 paper on this innovation demonstrates how operators can now control robots remotely through intuitive gestures, significantly enhancing workplace efficiency and safety. By bridging computer vision and robotics, Dr. Slangen’s contributions are helping to shape the next generation of collaborative manufacturing environments where human dexterity and robotic precision work seamlessly together.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A review of 3D human pose estimation algorithms for markerless motion capture
12 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Université de Montpellier, EuroMov Digital Health in Motion

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago