About

Dario Floreano is a pioneering roboticist and professor whose work spans evolutionary robotics, soft robotics, autonomous drones, and swarm intelligence — fields in which he has made foundational contributions that continue to shape modern robotics research. His early work on evolutionary robotics, including the landmark 2000 book co-authored with Stefano Nolfi (1,514 citations), demonstrated how Darwinian principles could be harnessed to automatically evolve robot controllers, a radical idea that helped establish the field. His 1996 experiments evolving neural networks directly on physical robots remain a touchstone for embodied AI research. Floreano's influence extends powerfully into soft robotics, with his critical overview of soft grippers (2018, 1,850 citations) becoming an essential reference, complemented by pioneering work on stretchable pumps and soft biomimetic fish robots. His 2015 vision paper on small autonomous drones (1,400 citations) has guided an entire generation of UAV researchers. He also championed accessible robotics education through the widely adopted e-puck robot platform. As director of EPFL's Laboratory of Intelligent Systems, Floreano has consistently bridged biological inspiration with engineering innovation, producing research with profound real-world applications in rescue robotics, human-machine interaction, and beyond.

Research Focus

Key Achievements

68
H-Index
256
Papers
20,499
Total Citations
80
Avg Citations/Paper
🏆 Most Cited Paper
Soft Robotic Grippers
1,850 citations · 2018
📈 Most Prolific Year: 2009 (12 Papers)
🤝 Key Collaborators: 373
🏛 Institutions: École Polytechnique Fédérale de Lausanne, École Normale Supérieure - PSL, Applied Microengineering Limited (United Kingdom), University of Applied Sciences and Arts of Southern Switzerland, Autonomous Undersea Systems Institute, University of Washington

Top Papers

  1. 1
    Soft Robotic Grippers
    1,850 citations · 2018
  2. 2
    Evolutionary Robotics
    1,514 citations · 2000
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Key Collaborators

Contact & Links

Available for collaboration
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