Papers

3

Total Citations

60

H-Index

3

About

N. Daucher is a pioneering researcher in robotic vision and sensor-based control, with a focus on hand-eye calibration and real-time monocular pose estimation. Their most influential work, "Hand-eye calibration" (2002, 35 citations), addresses the fundamental problem of determining the precise relative position and orientation between a camera rigidly mounted on a robot’s last joint and the gripper. This calibration is critical for tasks such as grasping objects and reconstructing 3D scenes, making it a cornerstone for many robotic systems. Daucher also advanced the field by demonstrating that monocular pose estimation algorithms, once too computationally intensive for real-time control, could be effectively used for speed command in robotic systems (2002, 13 citations). Their earlier work, "Robot Control using Monocular Pose Estimation" (1997, 12 citations), laid the groundwork for this approach, enabling closed-loop visual servoing. With over 60 combined citations, Daucher’s contributions have significantly impacted the integration of vision and robotics, providing practical solutions for autonomous manipulation and 3D scene understanding. Their research remains essential for engineers and students developing intelligent robotic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
60
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Hand-eye calibration
35 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Université Clermont Auvergne, Laboratoire d'Informatique et d'Automatique pour les Systèmes

Top Papers

  1. 1
    Hand-eye calibration
    35 citations · 2002
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
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