About

Amaury Dame is a pioneering researcher whose work bridges information theory and robotics, with a particular focus on visual servoing and educational robotics. His most significant contribution lies in developing a novel, information-theoretic approach to visual servoing, where he proposed using mutual information—a concept from Shannon's information theory—as a direct metric for robot control. This groundbreaking work, detailed in his highly cited 2011 paper "Mutual Information-Based Visual Servoing" (121 citations), moves beyond traditional geometric feature-based methods, enabling robots to achieve robust visual control even in complex, multi-modal environments. Dame further advanced this field through his unified direct approach for visual servoing and visual tracking, demonstrating the versatility of mutual information for both tasks. In addition to his technical contributions, Dame has made notable strides in educational robotics, particularly with his work on accessible maker-based approaches for online learning (2021, 20 citations) and augmented reality for teaching optics (2019). His research has garnered significant attention, with his most cited works accumulating over 150 citations, establishing him as a key innovator in applying information theory to practical robotic systems and STEM education.

Research Focus

Key Achievements

6
H-Index
6
Papers
198
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Mutual Information-Based Visual Servoing
121 citations · 2011
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Institut national de recherche en sciences et technologies du numérique, Centre National de la Recherche Scientifique, École Polytechnique Fédérale de Lausanne, Center for Micro-BioRobotics, Institut de Recherche en Informatique et Systèmes Aléatoires

Top Papers

  1. 1
  2. 2
    Entropy-based visual servoing
    31 citations · 2009
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago