Fanny Ficuciello

About

Fanny Ficuciello is a prominent robotics researcher whose work spans human-robot interaction, robotic manipulation, anthropomorphic hand design, and surgical robotics. Based at the University of Naples Federico II, she has made substantial contributions to advancing how robots physically collaborate with and assist humans across industrial, domestic, and medical settings. Her most influential work, "Variable Impedance Control of Redundant Manipulators for Intuitive Human–Robot Physical Interaction" (2015, 436 citations), pioneered the combination of Cartesian impedance modulation with redundancy resolution to make physical human-robot comanipulation more natural and safe. Complementing this, her development of the DEXMART anthropomorphic robotic hand introduced synergy-based control strategies that bring robotic grasping closer to human-like dexterity, while her vision-based grasp learning framework extended these capabilities to novel, unknown objects. Ficuciello has also emerged as a leading voice in deformable object manipulation, contributing both a widely cited modeling tutorial (2020) and a comprehensive challenges-and-outlook review (2022, 244 citations). Her work increasingly intersects with surgical robotics, addressing virtual fixtures, meaningful human control, and ethical dimensions of autonomous surgical systems. With over 1,400 citations across her most recognized papers, Ficuciello's research meaningfully shapes the future of intelligent, human-centered robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Variable Impedance Control of Redundant Manipulators for Intuitive Human–Robot Physical Interaction

   436 citations · 2015
2. 2
   Challenges and Outlook in Robotic Manipulation of Deformable Objects

   244 citations · 2022
3. 3
   The DEXMART hand: Mechatronic design and experimental evaluation of synergy-based control for human-like grasping

   178 citations · 2014
4. 4
   A Conformable Force/Tactile Skin for Physical Human–Robot Interaction

   161 citations · 2015
5. 5
   The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

   143 citations · 2024
6. 6
   Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review

   119 citations · 2020
7. 7
   Autonomy in surgical robots and its meaningful human control

   90 citations · 2018
8. 8
   Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework

   88 citations · 2019
9. 9
   Cartesian impedance control of redundant manipulators for human-robot co-manipulation

   83 citations · 2014
10. 10
    Passive Virtual Fixtures Adaptation in Minimally Invasive Robotic Surgery

    76 citations · 2018

Key Collaborators

Contact & Links