Giuseppe Andrea Fontanelli
University of Naples Federico II, Ingegneria dei Trasporti (Italy), Federico II University Hospital
Papers
20
Total Citations
628
H-Index
14
About
Giuseppe Andrea Fontanelli is a leading researcher in aerial manipulation, surgical robotics, and autonomous logistics, whose work bridges control theory, perception, and human-robot interaction. His most impactful contributions include pioneering image-based visual-impedance control for dual-arm aerial manipulators, enabling safe physical interaction in flight (87 citations), and developing passive virtual fixture adaptation for minimally invasive robotic surgery, which enhances surgical precision in unstructured environments (76 citations). Fontanelli has also made foundational contributions to the da Vinci Research Kit (DVRK) community, including a widely-used kinematic model and identification framework (75 citations) and a V-REP simulator (62 citations) that have become essential tools for surgical robotics research. His work on force sensing systems for robotic surgery, including a novel trocar-integrated sensor (46 citations) and an external sensing system (48 citations), addresses the critical lack of haptic feedback in minimally invasive procedures. Beyond surgery, Fontanelli has advanced autonomous depalletizing in supermarket logistics with RGB-D recognition systems (29 citations) and reconfigurable grippers (26 citations), and contributed to nonprehensile manipulation of deformable objects through the RoDyMan project (28 citations). With over 500 total citations, Fontanelli’s research is distinguished by its practical impact on real-world robotic systems, from operating rooms to warehouses.
Research Focus
Key Achievements
Top Papers
- 1Image-Based Visual-Impedance Control of a Dual-Arm Aerial Manipulator87 citations · 2018
- 2Passive Virtual Fixtures Adaptation in Minimally Invasive Robotic Surgery76 citations · 2018
- 3Modelling and identification of the da Vinci Research Kit robotic arms75 citations · 2017
- 4A V-REP Simulator for the da Vinci Research Kit Robotic Platform62 citations · 2018
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- 6An External Force Sensing System for Minimally Invasive Robotic Surgery48 citations · 2020
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