Marco Gabiccini
Italian Institute of Technology, University of Pisa, Piaggio (Italy)
Papers
38
Total Citations
1,439
H-Index
19
About
Marco Gabiccini is a prominent robotics researcher whose work sits at the fascinating intersection of robotic manipulation, neuroscience, and human motor control. His research has profoundly advanced our understanding of **hand synergies** — the coordinated patterns of joint movements that both biological and artificial hands exploit to simplify grasping and manipulation. His highly cited 2016 paper on hand synergies (297 citations) established a landmark bridge between robotics and neuroscience, while his earlier foundational work on synergy-based force optimization (152 citations) demonstrated how these principles can guide optimal robotic grasp planning. Gabiccini has made substantial contributions to **underactuated and soft robotic hand design**, exploring manipulability, compliance, and motion controllability in systems actuated by soft synergies. His grasp synthesis frameworks offer practical algorithmic solutions for deploying robot hands in unstructured environments. Beyond manipulation, his research extends into **legged locomotion**, multi-contact push recovery, and **haptic shared control** for human-robot collaboration. His work on IMU-based posture reconstruction and data-driven kinematic hand modeling further demonstrates his commitment to bridging computational methods with physical human-robot interaction. With over 1,000 cumulative citations, Gabiccini's contributions have meaningfully shaped modern dexterous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2On the role of hand synergies in the optimal choice of grasping forces152 citations · 2011
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- 5Grasping with Soft Hands68 citations · 2014
- 6On the synthesis of feasible and prehensile robotic grasps64 citations · 2012
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