About

Patrick Rives is a pioneering robotics researcher whose career has been defined by foundational contributions to visual servoing — the use of visual feedback to control robotic systems in real time. His seminal 1992–1993 papers, "A New Approach to Visual Servoing in Robotics," collectively amassed nearly 2,700 citations, establishing him as one of the most influential figures in vision-based robot control. By framing the camera as a dedicated task sensor embedded within a closed-loop control system, Rives helped transform visual servoing into a rigorous discipline grounded in control theory, addressing critical questions of stability and robustness. Beyond foundational theory, Rives extended visual servoing to diverse platforms, including mobile robots, autonomous airships, and hand-eye systems, demonstrating the versatility of his framework. His work on omnidirectional camera calibration and catadioptric sensor fusion with laser range finders — garnering hundreds of additional citations — reflects a sustained commitment to practical perception systems for robotics. More recently, he contributed to semantic segmentation evaluation metrics relevant to intelligent vehicles. Across more than two decades, Rives consistently bridged theoretical rigor with real-world robotic applications, leaving a lasting imprint on autonomous systems research worldwide.

Research Focus

Key Achievements

22
H-Index
66
Papers
4,536
Total Citations
69
Avg Citations/Paper
🏆 Most Cited Paper
A new approach to visual servoing in robotics
1,357 citations · 1993
📈 Most Prolific Year: 2002 (10 Papers)
🤝 Key Collaborators: 59
🏛 Institutions: Centre Inria d'Université Côte d'Azur, Institut national de recherche en sciences et technologies du numérique, Centre de Recherche en Informatique, Computer Algorithms for Medicine, Fondation Sophia Antipolis, Institut de Recherche en Informatique et Systèmes Aléatoires

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 · 34 days ago