Papers

23

Total Citations

987

H-Index

16

About

Stefano Scheggi is a versatile robotics researcher whose work spans robot manipulation, human-robot interaction, haptic feedback, and microrobotics. Based at the University of Siena, he made early contributions to accessible robotics research by developing the KUKA Control Toolbox (KCT), an open-source MATLAB framework for 6-DoF robot motion control that has become a widely adopted resource in the field, garnering 125 citations. His work on cooperative aerial manipulation, particularly the innovative "Flying Hand" concept — a swarm of UAVs collaboratively grasping objects through teleoperation — demonstrated creative approaches to multi-robot coordination and has accumulated 95 citations. Scheggi has also made significant strides in wearable sensing and haptic interfaces, developing the GESTO glove for hand tracking and cutaneous feedback (94 citations), and exploring haptic-guided human-robot navigation across multiple studies totaling over 90 citations. His research extended into biomedical microrobotics, with influential reviews and original work on stimuli-responsive soft untethered grippers for drug delivery and minimally invasive surgery (123 citations). Across his career, Scheggi has consistently bridged fundamental robotics engineering with real-world clinical and assistive applications, amassing over 780 citations and establishing himself as a multidisciplinary force in modern robotics.

Research Focus

Key Achievements

16
H-Index
23
Papers
987
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
KUKA Control Toolbox
125 citations · 2011
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: University of Siena, University of Twente, Italian Institute of Technology

Top Papers

  1. 1
    KUKA Control Toolbox
    125 citations · 2011
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  7. 7
    Touch the virtual reality
    54 citations · 2015
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago