About

Manuel G. Catalano is a prominent robotics researcher whose work spans robotic hand design, variable stiffness actuation, and human-robot interaction. Best known for pioneering the Pisa/IIT SoftHand — a landmark contribution with over 660 citations — Catalano advanced the concept of "adaptive synergies," enabling robotic hands to achieve human-like grasping versatility through elegant mechanical simplicity rather than complex control systems. His subsequent development of the SoftHand 2 further demonstrated how soft robotic principles can unlock dexterous manipulation capabilities. Beyond prosthetic and robotic hands, Catalano has made substantial contributions to variable stiffness actuation, co-authoring two highly influential reviews (totaling over 630 citations) that have become essential references for researchers designing compliant, safe robotic systems. His involvement in the WALK-MAN humanoid platform project showcased his ability to integrate these principles into large-scale, real-world robotic systems. Catalano's research also extends to haptic feedback devices, including the wearable CUFF interface, reflecting his commitment to bridging robotics and human sensory experience. With a comprehensive 2019 review surveying a century of robotic hand development, he has firmly established himself as both a leading innovator and a thoughtful synthesizer of his field, shaping how future generations of researchers approach embodied robot intelligence.

Research Focus

Key Achievements

36
H-Index
132
Papers
5,403
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive synergies for the design and control of the Pisa/IIT SoftHand
662 citations · 2014
📈 Most Prolific Year: 2020 (20 Papers)
🤝 Key Collaborators: 312
🏛 Institutions: Italian Institute of Technology, University of Pisa, Piaggio (Italy), Universitat Politècnica de València, University of Bergamo

Top Papers

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    A Century of Robotic Hands
    320 citations · 2019
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Key Collaborators

Contact & Links

Available for collaboration
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