Fabio Zuliani

École Polytechnique Fédérale de Lausanne

Papers

1

Total Citations

2

H-Index

1

About

Fabio Zuliani is an emerging robotics researcher whose work sits at the intersection of physical intelligence, modular robotics, and morphological computation. His most notable contribution, "Surface-based manipulation with modular foldable robots," challenges conventional assumptions about where intelligence resides in robotic systems, arguing compellingly that a robot's physical morphology is just as critical to task performance as its computational decision-making processes. This perspective draws on principles of embodied intelligence to explore how foldable, reconfigurable robotic bodies can be leveraged for real-world object manipulation tasks — a problem of significant practical importance in fields ranging from manufacturing to assistive robotics. By focusing on modular and foldable architectures, Zuliani's research opens pathways toward more adaptable and deployable robotic systems that do not rely solely on complex control algorithms. Though early in his publishing career, with his 2026 work already accumulating citations, Zuliani represents a forward-thinking voice in the robotics community. Students and researchers interested in soft robotics, reconfigurable systems, and the philosophy of embodied cognition will find his work a stimulating entry point into these rapidly evolving questions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Surface-based manipulation with modular foldable robots
2 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago