Papers

22

Total Citations

1,113

H-Index

13

About

Luca Schenato is a pioneering researcher whose work spans biomimetic robotics, micro aerial vehicles (MAVs), and multi-robot systems. He first rose to prominence through his groundbreaking doctoral dissertation and subsequent research on flapping-wing flight, developing sophisticated mathematical models and control algorithms for micromechanical flying insects (MFIs) — centimeter-scale robotic devices inspired by the aerodynamics and neurobiology of real insects. His two-part series on flapping flight modeling and control (2006) has collectively accumulated over 600 citations, establishing him as a leading authority in this niche but consequential field. Schenato also made notable contributions to biomimetic sensor design, engineering ocelli and haltere-inspired systems that mimic insect sensory organs for attitude estimation and flight stabilization. More recently, his research has evolved toward multi-robot coordination, including collaborative gradient and Hessian estimation using symmetric formations and distributed Gaussian field estimation — work with direct applications in autonomous exploration and source-seeking tasks. His broader interests now encompass networked sensing systems and computation-communication trade-offs in real-time estimation, reflecting a sophisticated understanding of how robotics and sensor networks intersect in modern cyber-physical systems.

Research Focus

Key Achievements

13
H-Index
22
Papers
1,113
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Flapping flight for biomimetic robotic insects: part I-system modeling
350 citations · 2006
📈 Most Prolific Year: 2004 (4 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: University of Padua, University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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