Papers
18
Total Citations
548
H-Index
10
About
Claire Dune is a robotics researcher whose work spans several interconnected domains, including deformable object manipulation, assistive robotics, visual servoing, and underwater robotics. Her most influential contribution, "Challenges and Outlook in Robotic Manipulation of Deformable Objects" (2022), has accumulated 244 citations and stands as a landmark survey shaping the emerging field of DOM, highlighting its potential to transform industrial, healthcare, and service robotics. Earlier in her career, Dune made significant strides in assistive technology, developing intuitive "one click" interfaces that allow severely disabled individuals to interact with robotic arms — research that reflects a deep commitment to human-centered design. Her work on visual servoing extended to humanoid robot locomotion, enabling vision-guided dynamic walking. A particularly innovative thread in her research involves catenary-based visual servoing for tethered underwater robots, turning a mechanical constraint into a navigational asset — work that has informed modern underwater vehicle systems. More recently, she contributed the Eiffel Tower deep-sea dataset, advancing long-term visual localization in challenging aquatic environments. Across more than fifteen years of research, Dune has consistently bridged theoretical robotics with meaningful real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Challenges and Outlook in Robotic Manipulation of Deformable Objects244 citations · 2022
- 2Active rough shape estimation of unknown objects50 citations · 2008
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- 5One Click Focus with Eye-in-hand/Eye-to-hand Cooperation32 citations · 2007
- 6Catenary-based visual servoing for tethered robots23 citations · 2017
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- 10Vision based control for Humanoid robots13 citations · 2011