Papers

9

Total Citations

398

H-Index

6

About

Davide Zappetti is a robotics researcher whose work sits at the fascinating intersection of soft robotics, tensegrity structures, and bio-inspired design. His research focuses on developing variable-stiffness robotic systems that draw inspiration from biological organisms to achieve adaptive locomotion, resilience, and safe operation in unstructured environments. Zappetti's most significant contributions center on tensegrity-based robotic architectures. His pioneering work on phase-changing material tensegrity structures (91 citations) demonstrated how soft robots could dynamically modulate stiffness, while his variable-stiffness tensegrity spine (87 citations) translated vertebrate biomechanics into functional robotic systems. His bio-inspired tensegrity fish robot elegantly reproduced rainbow trout locomotion, and his soft robot for terrestrial exploration (62 citations) addressed practical swarm robotics deployment challenges. Across his portfolio, Zappetti has accumulated over 390 citations, reflecting strong community recognition in the soft robotics field. His more recent work explores collision-resilient dual-stiffness platforms and reinforcement learning approaches for damage minimization, suggesting a broadening research agenda toward robust autonomous systems. For students interested in the convergence of mechanical design, biomimicry, and adaptive robotics, Zappetti's body of work offers a compelling roadmap for building robots that are simultaneously strong, flexible, and biologically informed.

Research Focus

Key Achievements

6
H-Index
9
Papers
398
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Phase Changing Materials-Based Variable-Stiffness Tensegrity Structures
91 citations · 2019
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: École Polytechnique Fédérale de Lausanne, Illinois Tool Works (France)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago