Graziano Chesi

University of Hong Kong, University of Siena

Papers

20

Total Citations

454

H-Index

9

About

Graziano Chesi is a prominent researcher whose work has profoundly shaped the field of visual servoing — the use of visual sensor data to guide robotic motion. His research spans path planning, camera modeling, and advanced numerical methods, with a sustained focus on solving one of robotics' most persistent challenges: reliably steering robots across large displacements without losing critical visual features from the camera's field of view. Among his most influential contributions is his 2007 paper on global path-planning for constrained and optimal visual servoing, which has garnered 119 citations and addressed the fundamental problem of feature loss during robot navigation. His 2004 work on visual servoing for large camera displacements (76 citations) tackled the especially demanding scenario of distant initial and target configurations, while his 2010 edited volume on advanced numerical methods (78 citations) provided the community with rigorous mathematical tools for tackling these problems. Chesi has also broadened the applicability of visual servoing by developing strategies for complex, unknown planar contours and unified camera models encompassing fisheye and catadioptric systems. His editorial stewardship of a dedicated special issue further demonstrates his leadership in the field. Across his career, his work has provided both theoretical foundations and practical algorithms that continue to guide robotics researchers worldwide.

Research Focus

Key Achievements

9
H-Index
20
Papers
454
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Global Path-Planning for Constrained and Optimal Visual Servoing
119 citations · 2007
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Hong Kong, University of Siena

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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