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Floreano is interested in design principles of biologically-inspired intelligent systems with emphasis on the interplay between artificial intelligence, embodiment, and the environment.<ref name=":1">{{cite news|url=https://www.economist.com/news/technology-quarterly/21723004-pioneer-evolutionary-robotics-borrows-drone-designs-nature-dario-floreano|title=Dario Floreano: A pioneer of "evolutionary robotics" borrows drone designs from nature|author1=Tom Standage|date=9 June 2017|newspaper=[[The Economist]]|accessdate=9 June 2017|authorlink1=Tom Standage}}</ref> Over the past 20 years, he has put significant effort into understanding and designing small aerial machines with biologically-inspired perception, morphology, and behaviour that can be operated in novel ways by, and around, humans.<ref>{{Cite journal |last=Floreano |first=Dario |last2=Wood |first2=Robert J. |date=2015 |title=Science, technology and the future of small autonomous drones |url=https://www.nature.com/articles/nature14542 |journal=Nature |language=en |volume=521 |issue=7553 |pages=460–466 |doi=10.1038/nature14542 |issn=1476-4687}}</ref>
Floreano is interested in design principles of biologically-inspired intelligent systems with emphasis on the interplay between artificial intelligence, embodiment, and the environment.<ref name=":1">{{cite news|url=https://www.economist.com/news/technology-quarterly/21723004-pioneer-evolutionary-robotics-borrows-drone-designs-nature-dario-floreano|title=Dario Floreano: A pioneer of "evolutionary robotics" borrows drone designs from nature|author1=Tom Standage|date=9 June 2017|newspaper=[[The Economist]]|accessdate=9 June 2017|authorlink1=Tom Standage}}</ref> Over the past 20 years, he has put significant effort into understanding and designing small aerial machines with biologically-inspired perception, morphology, and behaviour that can be operated in novel ways by, and around, humans.<ref>{{Cite journal |last=Floreano |first=Dario |last2=Wood |first2=Robert J. |date=2015 |title=Science, technology and the future of small autonomous drones |url=https://www.nature.com/articles/nature14542 |journal=Nature |language=en |volume=521 |issue=7553 |pages=460–466 |doi=10.1038/nature14542 |issn=1476-4687}}</ref>


One of the key research avenues explored in Floreano laboratory is the field of drone perception and design, with several contributions to the design and autonomous control of aerial swarms. In earlier work, Floreano demonstrated the world’s first team of 10 fixed-wing drones capable of coordinated outdoor flight by means of novel control algorithms that relied only on local radio communication among neighbouring drones: an algorithm based on ant-colony exploration and an algorithm based on evolutionary algorithms.<ref>{{Cite journal |last=Hauert |first=Sabine |last2=Winkler |first2=Laurent |last3=Zufferey |first3=Jean-Christophe |last4=Floreano |first4=Dario |date=2008-12-01 |title=Ant-based swarming with positionless micro air vehicles for communication relay |url=https://doi.org/10.1007/s11721-008-0013-5 |journal=Swarm Intelligence |language=en |volume=2 |issue=2 |pages=167–188 |doi=10.1007/s11721-008-0013-5 |issn=1935-3820}}</ref><ref>{{Cite journal |last=Hauert |first=Sabine |last2=Zufferey |first2=Jean-Christophe |last3=Floreano |first3=Dario |date=2009 |title=Evolved swarming without positioning information: an application in aerial communication relay |url=https://doi.org/10.1007/s10514-008-9104-9 |journal=Autonomous Robots |language=en |volume=26 |issue=1 |pages=21-32 |doi=10.1007/s10514-008-9104-9 |issn=1573-7527}}</ref> He then used the 10 fixed-wing drones to study Reynold’s flocking algorithms and showed that the vehicle agility and communication range among the drones significantly affected swarm cohesion.<ref>{{Cite web |title=Reynolds flocking in reality with fixed-wing robots: Communication range vs. maximum turning rate |url=https://ieeexplore.ieee.org/document/6095129/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/iros.2011.6095129}}</ref> Dario Floreano also proposed novel mechanical design and control methods for exploration of buildings by drone swarms: these drones were designed to perch on ceilings for energy saving, and detecting and communicating with other drones.<ref>{{Cite journal |last=Roberts |first=James F. |last2=Stirling |first2=Timothy |last3=Zufferey |first3=Jean-Christophe |last4=Floreano |first4=Dario |date=2012 |title=3-D relative positioning sensor for indoor flying robots |url=http://link.springer.com/10.1007/s10514-012-9277-0 |journal=Autonomous Robots |language=en |volume=33 |issue=1-2 |pages=5–20 |doi=10.1007/s10514-012-9277-0 |issn=0929-5593}}</ref> These algorithms and drones, a.k.a. ''eyebots'', were successfully demonstrated in synergetic operation with a swarm of terrestrial robots (''footbots'') and manipulating robots (''handbots'') in a mission aimed at finding and retrieving a book placed on a shelf in a room.<ref>{{Cite web |title=Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms |url=https://ieeexplore.ieee.org/document/6603259/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/mra.2013.2252996}}</ref> Floreano and his team later also studied sound-based swarming and have shown that a quadcopter equipped with a microphone array could detect the range and bearing of another emitting high-frequency chirps.<ref>{{Cite web |title=On-Board Relative Bearing Estimation for Teams of Drones Using Sound |url=https://ieeexplore.ieee.org/document/7403916/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2016.2527833}}</ref> In most recent work, Floreano developed a method for vision-based aerial swarms, whereby drones use onboard cameras to detect each other and autonomously coordinate their own motion with swarm algorithms,<ref>{{Cite web |title=Vision-Based Drone Flocking in Outdoor Environments |url=https://ieeexplore.ieee.org/document/9363551/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2021.3062298}}</ref> showing that drones can safely navigate in an outdoor environment despite substantial background clutter and difficult lighting conditions. At the same time, Floreano's team was able to demonstrate autonomous swarming through cluttered environments with model predictive control,<ref>{{Cite journal |last=Soria |first=Enrica |last2=Schiano |first2=Fabrizio |last3=Floreano |first3=Dario |date=2021 |title=Predictive control of aerial swarms in cluttered environments |url=https://www.nature.com/articles/s42256-021-00341-y |journal=Nature Machine Intelligence |language=en |volume=3 |issue=6 |pages=545–554 |doi=10.1038/s42256-021-00341-y |issn=2522-5839}}</ref> where their approach improved the speed, order and safety of the swarm, independently of the environment layout, whilst being scalable in swarm speed and inter-agent distance.
One of the key research avenues explored in Floreano laboratory is the field of '''drone perception and design''', with several contributions to the design and autonomous control of aerial swarms. In earlier work, Floreano demonstrated the world’s first team of 10 fixed-wing drones capable of coordinated outdoor flight by means of novel control algorithms that relied only on local radio communication among neighbouring drones: an algorithm based on ant-colony exploration and an algorithm based on evolutionary algorithms.<ref>{{Cite journal |last=Hauert |first=Sabine |last2=Winkler |first2=Laurent |last3=Zufferey |first3=Jean-Christophe |last4=Floreano |first4=Dario |date=2008-12-01 |title=Ant-based swarming with positionless micro air vehicles for communication relay |url=https://doi.org/10.1007/s11721-008-0013-5 |journal=Swarm Intelligence |language=en |volume=2 |issue=2 |pages=167–188 |doi=10.1007/s11721-008-0013-5 |issn=1935-3820}}</ref><ref>{{Cite journal |last=Hauert |first=Sabine |last2=Zufferey |first2=Jean-Christophe |last3=Floreano |first3=Dario |date=2009 |title=Evolved swarming without positioning information: an application in aerial communication relay |url=https://doi.org/10.1007/s10514-008-9104-9 |journal=Autonomous Robots |language=en |volume=26 |issue=1 |pages=21-32 |doi=10.1007/s10514-008-9104-9 |issn=1573-7527}}</ref> He then used the 10 fixed-wing drones to study Reynold’s flocking algorithms and showed that the vehicle agility and communication range among the drones significantly affected swarm cohesion.<ref>{{Cite web |title=Reynolds flocking in reality with fixed-wing robots: Communication range vs. maximum turning rate |url=https://ieeexplore.ieee.org/document/6095129/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/iros.2011.6095129}}</ref> Dario Floreano also proposed novel mechanical design and control methods for exploration of buildings by drone swarms: these drones were designed to perch on ceilings for energy saving, and detecting and communicating with other drones.<ref>{{Cite journal |last=Roberts |first=James F. |last2=Stirling |first2=Timothy |last3=Zufferey |first3=Jean-Christophe |last4=Floreano |first4=Dario |date=2012 |title=3-D relative positioning sensor for indoor flying robots |url=http://link.springer.com/10.1007/s10514-012-9277-0 |journal=Autonomous Robots |language=en |volume=33 |issue=1-2 |pages=5–20 |doi=10.1007/s10514-012-9277-0 |issn=0929-5593}}</ref> These algorithms and drones, a.k.a. ''eyebots'', were successfully demonstrated in synergetic operation with a swarm of terrestrial robots (''footbots'') and manipulating robots (''handbots'') in a mission aimed at finding and retrieving a book placed on a shelf in a room.<ref>{{Cite web |title=Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms |url=https://ieeexplore.ieee.org/document/6603259/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/mra.2013.2252996}}</ref> Floreano and his team later also studied sound-based swarming and have shown that a quadcopter equipped with a microphone array could detect the range and bearing of another emitting high-frequency chirps.<ref>{{Cite web |title=On-Board Relative Bearing Estimation for Teams of Drones Using Sound |url=https://ieeexplore.ieee.org/document/7403916/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2016.2527833}}</ref> In most recent work, Floreano developed a method for vision-based aerial swarms, whereby drones use onboard cameras to detect each other and autonomously coordinate their own motion with swarm algorithms,<ref>{{Cite web |title=Vision-Based Drone Flocking in Outdoor Environments |url=https://ieeexplore.ieee.org/document/9363551/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2021.3062298}}</ref> showing that drones can safely navigate in an outdoor environment despite substantial background clutter and difficult lighting conditions. At the same time, Floreano's team was able to demonstrate autonomous swarming through cluttered environments with model predictive control,<ref>{{Cite journal |last=Soria |first=Enrica |last2=Schiano |first2=Fabrizio |last3=Floreano |first3=Dario |date=2021 |title=Predictive control of aerial swarms in cluttered environments |url=https://www.nature.com/articles/s42256-021-00341-y |journal=Nature Machine Intelligence |language=en |volume=3 |issue=6 |pages=545–554 |doi=10.1038/s42256-021-00341-y |issn=2522-5839}}</ref> where their approach improved the speed, order and safety of the swarm, independently of the environment layout, whilst being scalable in swarm speed and inter-agent distance.


In parallel to the design and autonomous control of aerial swarms, Dario Floreano has been studying Body-Machine Interfaces (BoMI) for more intuitive and immersive tele-robotic operation of drones. His team developed a novel BoMI method to automatically map spontaneous human gestures aimed at interacting with robotic devices.<ref>{{Cite journal |last=Miehlbradt |first=Jenifer |last2=Cherpillod |first2=Alexandre |last3=Mintchev |first3=Stefano |last4=Coscia |first4=Martina |last5=Artoni |first5=Fiorenzo |last6=Floreano |first6=Dario |last7=Micera |first7=Silvestro |date=2018-07-31 |title=Data-driven body–machine interface for the accurate control of drones |url=https://pnas.org/doi/full/10.1073/pnas.1718648115 |journal=Proceedings of the National Academy of Sciences |language=en |volume=115 |issue=31 |pages=7913–7918 |doi=10.1073/pnas.1718648115 |issn=0027-8424 |pmc=PMC6077744 |pmid=30012599}}</ref> Floreano also developed a soft exoskeleton, called a ''FlyJacket'', coupled with virtual reality goggles and smart gloves to allow non-expert persons to naturally control a drone in search and rescue missions.<ref>{{Cite web |title=FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control |url=https://ieeexplore.ieee.org/document/8304759/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2018.2810955}}</ref> Floreano's ''FlyJacket'' solution was tested by nearly 500 persons at public demonstrations in Lausanne, Zurich, London and Boston. More recently, Floreano and his team showed that haptic feedback is effective at improving BoMI with a drone.<ref>{{Cite journal |last=Rognon |first=Carine |last2=Koehler |first2=Margaret |last3=Duriez |first3=Christian |last4=Floreano |first4=Dario |last5=Okamura |first5=Allison M. |date=2019 |title=Soft Haptic Device to Render the Sensation of Flying Like a Drone |url=https://ieeexplore.ieee.org/document/8678785/ |journal=IEEE Robotics and Automation Letters |volume=4 |issue=3 |pages=2524–2531 |doi=10.1109/LRA.2019.2907432 |issn=2377-3766}}</ref><ref>{{Cite journal |last=Rognon |first=Carine |last2=Ramachandran |first2=Vivek |last3=Wu |first3=Amy R |last4=Ijspeert |first4=Auke J |last5=Floreano |first5=Dario |date=2019-07-01 |title=Haptic Feedback Perception and Learning With Cable-Driven Guidance in Exosuit Teleoperation of a Simulated Drone |url=https://ieeexplore.ieee.org/document/8747539/ |journal=IEEE Transactions on Haptics |volume=12 |issue=3 |pages=375–385 |doi=10.1109/TOH.2019.2925612 |issn=1939-1412}}</ref><ref>{{Cite journal |last=Macchini |first=Matteo |last2=Havy |first2=Thomas |last3=Weber |first3=Antoine |last4=Schiano |first4=Fabrizio |last5=Floreano |first5=Dario |date=2020 |title=Hand-worn Haptic Interface for Drone Teleoperation |url=https://ieeexplore.ieee.org/document/9196664/ |journal=IEEE International Conference on Robotics and Automation (ICRA) |publisher=IEEE |pages=10212–10218 |doi=10.1109/ICRA40945.2020.9196664 |isbn=978-1-7281-7395-5}}</ref> His team also developed fabric-based wearable clutches to train humans in more challenging drone teleoperation tasks.<ref>{{Cite journal |last=Ramachandran |first=Vivek |last2=Schilling |first2=Fabian |last3=Wu |first3=Amy R. |last4=Floreano |first4=Dario |date=2021 |title=Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning |url=https://onlinelibrary.wiley.com/doi/10.1002/aisy.202100043 |journal=Advanced Intelligent Systems |language=en |volume=3 |issue=11 |doi=10.1002/aisy.202100043 |issn=2640-4567}}</ref> This method used haptic feedback to restrain elbow motion and make users aware of their errors, allowing them to consciously learn to prevent errors from occurring. Furthermore, Floreano is interested in studying the effectiveness of different viewpoints in robotic teleoperation with Virtual Reality displays and has developed a machine learning method for extracting the BoMI for drone operation,<ref>{{Cite web |title=The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation |url=https://ieeexplore.ieee.org/document/9417809/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/vr50410.2021.00075}}</ref><ref>{{Cite web |title=Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces |url=https://ieeexplore.ieee.org/document/8888211/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2019.2950816}}</ref> which showed preliminary results on learning to use hand gestures for steering a swarm in third-person view.<ref>{{Cite web |title=Personalized Human-Swarm Interaction Through Hand Motion |url=https://ieeexplore.ieee.org/document/9508869/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2021.3102324}}</ref>
In parallel to the design and autonomous control of aerial swarms, Dario Floreano has been studying '''Body-Machine Interfaces (BoMI)''' for more intuitive and immersive tele-robotic operation of drones. His team developed a novel BoMI method to automatically map spontaneous human gestures aimed at interacting with robotic devices.<ref>{{Cite journal |last=Miehlbradt |first=Jenifer |last2=Cherpillod |first2=Alexandre |last3=Mintchev |first3=Stefano |last4=Coscia |first4=Martina |last5=Artoni |first5=Fiorenzo |last6=Floreano |first6=Dario |last7=Micera |first7=Silvestro |date=2018-07-31 |title=Data-driven body–machine interface for the accurate control of drones |url=https://pnas.org/doi/full/10.1073/pnas.1718648115 |journal=Proceedings of the National Academy of Sciences |language=en |volume=115 |issue=31 |pages=7913–7918 |doi=10.1073/pnas.1718648115 |issn=0027-8424 |pmc=PMC6077744 |pmid=30012599}}</ref> Floreano also developed a soft exoskeleton, called a ''FlyJacket'', coupled with virtual reality goggles and smart gloves to allow non-expert persons to naturally control a drone in search and rescue missions.<ref>{{Cite web |title=FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control |url=https://ieeexplore.ieee.org/document/8304759/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2018.2810955}}</ref> Floreano's ''FlyJacket'' solution was tested by nearly 500 persons at public demonstrations in Lausanne, Zurich, London and Boston. More recently, Floreano and his team showed that haptic feedback is effective at improving BoMI with a drone.<ref>{{Cite journal |last=Rognon |first=Carine |last2=Koehler |first2=Margaret |last3=Duriez |first3=Christian |last4=Floreano |first4=Dario |last5=Okamura |first5=Allison M. |date=2019 |title=Soft Haptic Device to Render the Sensation of Flying Like a Drone |url=https://ieeexplore.ieee.org/document/8678785/ |journal=IEEE Robotics and Automation Letters |volume=4 |issue=3 |pages=2524–2531 |doi=10.1109/LRA.2019.2907432 |issn=2377-3766}}</ref><ref>{{Cite journal |last=Rognon |first=Carine |last2=Ramachandran |first2=Vivek |last3=Wu |first3=Amy R |last4=Ijspeert |first4=Auke J |last5=Floreano |first5=Dario |date=2019-07-01 |title=Haptic Feedback Perception and Learning With Cable-Driven Guidance in Exosuit Teleoperation of a Simulated Drone |url=https://ieeexplore.ieee.org/document/8747539/ |journal=IEEE Transactions on Haptics |volume=12 |issue=3 |pages=375–385 |doi=10.1109/TOH.2019.2925612 |issn=1939-1412}}</ref><ref>{{Cite journal |last=Macchini |first=Matteo |last2=Havy |first2=Thomas |last3=Weber |first3=Antoine |last4=Schiano |first4=Fabrizio |last5=Floreano |first5=Dario |date=2020 |title=Hand-worn Haptic Interface for Drone Teleoperation |url=https://ieeexplore.ieee.org/document/9196664/ |journal=IEEE International Conference on Robotics and Automation (ICRA) |publisher=IEEE |pages=10212–10218 |doi=10.1109/ICRA40945.2020.9196664 |isbn=978-1-7281-7395-5}}</ref> His team also developed fabric-based wearable clutches to train humans in more challenging drone teleoperation tasks.<ref>{{Cite journal |last=Ramachandran |first=Vivek |last2=Schilling |first2=Fabian |last3=Wu |first3=Amy R. |last4=Floreano |first4=Dario |date=2021 |title=Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning |url=https://onlinelibrary.wiley.com/doi/10.1002/aisy.202100043 |journal=Advanced Intelligent Systems |language=en |volume=3 |issue=11 |doi=10.1002/aisy.202100043 |issn=2640-4567}}</ref> This method used haptic feedback to restrain elbow motion and make users aware of their errors, allowing them to consciously learn to prevent errors from occurring. Furthermore, Floreano is interested in studying the effectiveness of different viewpoints in robotic teleoperation with Virtual Reality displays and has developed a machine learning method for extracting the BoMI for drone operation,<ref>{{Cite web |title=The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation |url=https://ieeexplore.ieee.org/document/9417809/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/vr50410.2021.00075}}</ref><ref>{{Cite web |title=Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces |url=https://ieeexplore.ieee.org/document/8888211/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2019.2950816}}</ref> which showed preliminary results on learning to use hand gestures for steering a swarm in third-person view.<ref>{{Cite web |title=Personalized Human-Swarm Interaction Through Hand Motion |url=https://ieeexplore.ieee.org/document/9508869/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/lra.2021.3102324}}</ref>


Another line of research in the Floreano lab has focussed on '''soft and self-organizing robots'''. Floreano has studied the design and manufacture of multi-cellular soft robots and developed new functional materials for these applications.<ref>{{Cite journal |last=Germann |first=Jürg |last2=Maesani |first2=Andrea |last3=Pericet-Camara |first3=Ramon |last4=Floreano |first4=Dario |date=2014 |title=Soft Cells for Programmable Self-Assembly of Robotic Modules |url=https://www.liebertpub.com/doi/10.1089/soro.2014.0005 |journal=Soft Robotics |volume=1 |issue=4 |pages=239–245 |doi=10.1089/soro.2014.0005 |issn=2169-5172}}</ref><ref>{{Cite journal |last=Germann |first=Jürg |last2=Auerbach |first2=Joshua |last3=Floreano |first3=Dario |date=2014 |editor-last=del Pobil |editor-first=Angel P. |editor2-last=Chinellato |editor2-first=Eris |editor3-last=Martinez-Martin |editor3-first=Ester |editor4-last=Hallam |editor4-first=John |editor5-last=Cervera |editor5-first=Enric |editor6-last=Morales |editor6-first=Antonio |title=Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes |url=https://link.springer.com/chapter/10.1007/978-3-319-08864-8_21 |journal=From Animals to Animats 13 |series=Lecture Notes in Computer Science |language=en |location=Cham |publisher=Springer International Publishing |pages=220–229 |doi=10.1007/978-3-319-08864-8_21 |isbn=978-3-319-08864-8}}</ref><ref>{{Cite journal |last=Germann |first=Jurg |last2=Schubert |first2=Bryan |last3=Floreano |first3=Dario |date=2014 |title=Stretchable electroadhesion for soft robots |url=http://ieeexplore.ieee.org/document/6943115/ |journal=IEEE/RSJ International Conference on Intelligent Robots and Systems |publisher=IEEE |pages=3933–3938 |doi=10.1109/IROS.2014.6943115 |isbn=978-1-4799-6934-0}}</ref><ref>{{Cite journal |last=Tonazzini |first=Alice |last2=Mintchev |first2=Stefano |last3=Schubert |first3=Bryan |last4=Mazzolai |first4=Barbara |last5=Shintake |first5=Jun |last6=Floreano |first6=Dario |date=2016 |title=Variable Stiffness Fiber with Self‐Healing Capability |url=https://onlinelibrary.wiley.com/doi/10.1002/adma.201602580 |journal=Advanced Materials |language=en |volume=28 |issue=46 |pages=10142–10148 |doi=10.1002/adma.201602580 |issn=0935-9648}}</ref><ref>{{Cite journal |last=Chautems |first=Christophe |last2=Tonazzini |first2=Alice |last3=Boehler |first3=Quentin |last4=Jeong |first4=Seung Hee |last5=Floreano |first5=Dario |last6=Nelson |first6=Bradley J. |date=2020 |title=Magnetic Continuum Device with Variable Stiffness for Minimally Invasive Surgery |url=https://onlinelibrary.wiley.com/doi/10.1002/aisy.201900086 |journal=Advanced Intelligent Systems |language=en |volume=2 |issue=6 |doi=10.1002/aisy.201900086 |issn=2640-4567}}</ref> His team also studies various aspects of tensegrity robotic systems, which includes modular design, development of manufacturing techniques, and investigation of functional materials. Amongst other examples, Floreano and his team work on new designs for a soft tensegrity robots, which could roll and jump, promising potential applications in disaster mitigation or space exploration.<ref>{{Cite web |title=A Soft Robot for Random Exploration of Terrestrial Environments |url=https://ieeexplore.ieee.org/document/8460667/ |access-date=2023-10-27 |website=ieeexplore.ieee.org |language=en-US |doi=10.1109/icra.2018.8460667}}</ref> Other designs have included a biomimetic tensegrity fish-like robot, with potential in underwater exploration, inspection and rescue.<ref>{{Cite journal |last=Shintake |first=Jun |last2=Zappetti |first2=Davide |last3=Peter |first3=Timothee |last4=Ikemoto |first4=Yusuke |last5=Floreano |first5=Dario |date=2020 |title=Bio-inspired Tensegrity Fish Robot |url=https://ieeexplore.ieee.org/document/9196675/ |journal=IEEE International Conference on Robotics and Automation (ICRA) |publisher=IEEE |pages=2887–2892 |doi=10.1109/ICRA40945.2020.9196675 |isbn=978-1-7281-7395-5}}</ref> Most recently, Floreano has been interested in the variable stiffness capabilities of tensegrity systems, which would incorporate novel technologies based on smart materials and elaborate manufacturing techniques. For example, he developed variable stiffness cables based on low melting point alloy (LMPA) smart materials, which could be toggled between rigid and soft states of tensegrity modules.<ref>{{Cite journal |last=Zappetti |first=Davide |last2=Jeong |first2=Seung Hee |last3=Shintake |first3=Jun |last4=Floreano |first4=Dario |date=2020 |title=Phase Changing Materials-Based Variable-Stiffness Tensegrity Structures |url=https://www.liebertpub.com/doi/10.1089/soro.2019.0091 |journal=Soft Robotics |volume=7 |issue=3 |pages=362–369 |doi=10.1089/soro.2019.0091 |issn=2169-5172 |pmc=PMC7301330 |pmid=31851862}}</ref> His team also proposed a design for dual stiffness ball joint connections that can switch between a rigid and compliant connection, which were used to design a tensegrity-based spine structure.<ref>{{Cite journal |last=Zappetti |first=Davide |last2=Arandes |first2=Roc |last3=Ajanic |first3=Enrico |last4=Floreano |first4=Dario |date=2020-07-01 |title=Variable-stiffness tensegrity spine |url=https://iopscience.iop.org/article/10.1088/1361-665X/ab87e0 |journal=Smart Materials and Structures |volume=29 |issue=7 |pages=075013 |doi=10.1088/1361-665X/ab87e0 |issn=0964-1726}}</ref> Another recent example involves dual stiffness rod elements, which can be integrated in the design of robotic joints for rovers and drones to increase their impact and collision resilience.<ref>{{Cite journal |last=Zappetti |first=Davide |last2=Sun |first2=Yi |last3=Gevers |first3=Matthieu |last4=Mintchev |first4=Stefano |last5=Floreano |first5=Dario |date=2022 |title=Dual Stiffness Tensegrity Platform for Resilient Robotics |url=https://onlinelibrary.wiley.com/doi/10.1002/aisy.202200025 |journal=Advanced Intelligent Systems |language=en |volume=4 |issue=7 |doi=10.1002/aisy.202200025 |issn=2640-4567}}</ref> In a related line of research, Floreano looks at the coevolution of the morphology of tensegrity robots, where he studies the influence of the form and stiffness of tensegrity modules on the evolution of the body and the brain of tensegrity robots. Floreano and his team showed how different morphology, control and locomotion strategies could be obtained based on varying stiffness of the tensegrity modules.<ref>{{Cite journal |last=Zardini |first=Enrico |last2=Zappetti |first2=Davide |last3=Zambrano |first3=Davide |last4=Iacca |first4=Giovanni |last5=Floreano |first5=Dario |date=2021-06-26 |title=Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots |url=https://dl.acm.org/doi/10.1145/3449639.3459311 |language=en |publisher=ACM |pages=189–197 |doi=10.1145/3449639.3459311 |isbn=978-1-4503-8350-9}}</ref>
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Dario Floreano has published hundreds of peer-reviewed articles and four books on neural networks, evolutionary robotics, bio-inspired artificial intelligence, and bio-inspired flying robots.<ref>{{Cite web |title=Publications |url=https://www.epfl.ch/labs/lis/publications/ |access-date=2022-12-24 |website=EPFL |language=en-GB}}</ref> In 2017, Floreano was featured by ''[[The Economist]]'' in a centre-page portrait as a pioneer in evolutionary robotics and aerial robotics. He was co-founder and member of the Board of Directors of the International Society for Artificial Life, Inc., member of the Board of Governors of the International Society for Neural Networks, Advisory Board member of the Future and Emerging Technology division of the European Commission, and founding members and vice-chair of the General Agenda Council on Robotics of the World Economic Forum.<ref>{{Cite news |date=2010 |title=Talk at the World Economic Forum |work=EPFL News |url=https://actu.epfl.ch/news/talk-at-the-world-economic-forum-2/}}</ref>

⚫
Dario Floreano has '''published hundreds of peer-reviewed articles, tens of patents, as well as five books''' on neural networks, evolutionary robotics, bio-inspired artificial intelligence, bio-inspired flying robots, and most recently on "How Intelligent Machines Will Shape Our Future".<ref>{{Cite web |title=Publications |url=https://www.epfl.ch/labs/lis/publications/ |access-date=2022-12-24 |website=EPFL |language=en-GB}}</ref> In 2017, Floreano was featured by ''[[The Economist]]'' in a centre-page portrait as a pioneer in evolutionary robotics and aerial robotics.<ref>{{Cite news |title=Dario Floreano |work=The Economist |url=https://www.economist.com/technology-quarterly/2017/06/08/dario-floreano |access-date=2023-10-27 |issn=0013-0613}}</ref> He was co-founder and member of the Board of Directors of the International Society for Artificial Life, Inc., member of the Board of Governors of the International Society for Neural Networks, Advisory Board member of the Future and Emerging Technology division of the European Commission, and founding members and vice-chair of the General Agenda Council on Robotics of the World Economic Forum.<ref>{{Cite news |date=2010 |title=Talk at the World Economic Forum |work=EPFL News |url=https://actu.epfl.ch/news/talk-at-the-world-economic-forum-2/}}</ref>


Throughout the years, Floreano has co-organized several international conferences in the fields of bio-mimetic engineering and is or has been on the editorial board of several international journals: Science Robotics; Neural Networks; Genetic Programming and Evolvable Machines; Adaptive Behavior; Artificial Life; Connection Science; Evolutionary Computation; IEEE Transactions on Evolutionary Computation; Autonomous Robots; Evolutionary Intelligence.
Throughout the years, Floreano has co-organized several international conferences in the fields of bio-mimetic engineering and is or has been on the editorial board of several international journals: Science Robotics; Neural Networks; Genetic Programming and Evolvable Machines; Adaptive Behavior; Artificial Life; Connection Science; Evolutionary Computation; IEEE Transactions on Evolutionary Computation; Autonomous Robots; Evolutionary Intelligence.

Revision as of 11:39, 27 October 2023

Professor
Dario Floreano
Dario Floreano Portrait.jpg
Dario Floreano
Born1964 (age 59–60)
San Daniele del Friuli, Italy
NationalitySwiss and Italian
Alma materUniversity of Trieste
University of Stirling
Known forEvolutionary robotics
Bio-inspired drones
Scientific career
InstitutionsEPFL (École Polytechnique Fédérale de Lausanne)
Doctoral studentsSabine Hauert[1]
Websitewww.epfl.ch/labs/lis/

Dario Floreano (born 1964 in San Daniele del Friuli, Italy) is a Swiss-Italian roboticist and engineer. He is Director of the Laboratory of Intelligent System (LIS) at the École Polytechnique Fédérale de Lausanne in Switzerland and was the founding director of the Swiss National Centre of Competence in Research (NCCR) Robotics.[2]

Education and Career

Floreano received a bachelor's degree from the University of Trieste with a major in visual psychophysics in 1988. In 1989, he joined the Italian National Research Council in Rome as research fellow. He received a master's degree in computer sciences with a specialisation in neural computation from the University of Stirling in 1992. In 1995, he earned a PhD in artificial intelligence and robotics from the University of Trieste. Following a position as Chief Scientific Officer at Cognitive Technology Laboratory Ltd, he joined the EPFL in 1996 as group leader in the Department of Computer Science. In 2000, Floreano was first named Assistant Professor, then in 2005 Associate Professor and in 2010 Full Professor of Intelligent Systems at EPFL's School of Engineering. He was the founding director of the Swiss National Center of Competence in Robotics, which ran for 12 years, between 2010 and 2022.[3][4] Floreano was named "AI influencer in Switzerland" in 2021.[5] Since 2022, Floreano is a Fellow of the European Center for Living Technologies (ECLT) and since 2023 a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).[6][7] He also currently serves as an Advisor Board Member for the ELLIS Tübingen Institute for Machine Learning and the Max-Planck Institute for Intelligent Systems.[8]

Research

Floreano is interested in design principles of biologically-inspired intelligent systems with emphasis on the interplay between artificial intelligence, embodiment, and the environment.[5] Over the past 20 years, he has put significant effort into understanding and designing small aerial machines with biologically-inspired perception, morphology, and behaviour that can be operated in novel ways by, and around, humans.[9]

One of the key research avenues explored in Floreano laboratory is the field of drone perception and design, with several contributions to the design and autonomous control of aerial swarms. In earlier work, Floreano demonstrated the world’s first team of 10 fixed-wing drones capable of coordinated outdoor flight by means of novel control algorithms that relied only on local radio communication among neighbouring drones: an algorithm based on ant-colony exploration and an algorithm based on evolutionary algorithms.[10][11] He then used the 10 fixed-wing drones to study Reynold’s flocking algorithms and showed that the vehicle agility and communication range among the drones significantly affected swarm cohesion.[12] Dario Floreano also proposed novel mechanical design and control methods for exploration of buildings by drone swarms: these drones were designed to perch on ceilings for energy saving, and detecting and communicating with other drones.[13] These algorithms and drones, a.k.a. eyebots, were successfully demonstrated in synergetic operation with a swarm of terrestrial robots (footbots) and manipulating robots (handbots) in a mission aimed at finding and retrieving a book placed on a shelf in a room.[14] Floreano and his team later also studied sound-based swarming and have shown that a quadcopter equipped with a microphone array could detect the range and bearing of another emitting high-frequency chirps.[15] In most recent work, Floreano developed a method for vision-based aerial swarms, whereby drones use onboard cameras to detect each other and autonomously coordinate their own motion with swarm algorithms,[16] showing that drones can safely navigate in an outdoor environment despite substantial background clutter and difficult lighting conditions. At the same time, Floreano's team was able to demonstrate autonomous swarming through cluttered environments with model predictive control,[17] where their approach improved the speed, order and safety of the swarm, independently of the environment layout, whilst being scalable in swarm speed and inter-agent distance.

In parallel to the design and autonomous control of aerial swarms, Dario Floreano has been studying Body-Machine Interfaces (BoMI) for more intuitive and immersive tele-robotic operation of drones. His team developed a novel BoMI method to automatically map spontaneous human gestures aimed at interacting with robotic devices.[18] Floreano also developed a soft exoskeleton, called a FlyJacket, coupled with virtual reality goggles and smart gloves to allow non-expert persons to naturally control a drone in search and rescue missions.[19] Floreano's FlyJacket solution was tested by nearly 500 persons at public demonstrations in Lausanne, Zurich, London and Boston. More recently, Floreano and his team showed that haptic feedback is effective at improving BoMI with a drone.[20][21][22] His team also developed fabric-based wearable clutches to train humans in more challenging drone teleoperation tasks.[23] This method used haptic feedback to restrain elbow motion and make users aware of their errors, allowing them to consciously learn to prevent errors from occurring. Furthermore, Floreano is interested in studying the effectiveness of different viewpoints in robotic teleoperation with Virtual Reality displays and has developed a machine learning method for extracting the BoMI for drone operation,[24][25] which showed preliminary results on learning to use hand gestures for steering a swarm in third-person view.[26]

Another line of research in the Floreano lab has focussed on soft and self-organizing robots. Floreano has studied the design and manufacture of multi-cellular soft robots and developed new functional materials for these applications.[27][28][29][30][31] His team also studies various aspects of tensegrity robotic systems, which includes modular design, development of manufacturing techniques, and investigation of functional materials. Amongst other examples, Floreano and his team work on new designs for a soft tensegrity robots, which could roll and jump, promising potential applications in disaster mitigation or space exploration.[32] Other designs have included a biomimetic tensegrity fish-like robot, with potential in underwater exploration, inspection and rescue.[33] Most recently, Floreano has been interested in the variable stiffness capabilities of tensegrity systems, which would incorporate novel technologies based on smart materials and elaborate manufacturing techniques. For example, he developed variable stiffness cables based on low melting point alloy (LMPA) smart materials, which could be toggled between rigid and soft states of tensegrity modules.[34] His team also proposed a design for dual stiffness ball joint connections that can switch between a rigid and compliant connection, which were used to design a tensegrity-based spine structure.[35] Another recent example involves dual stiffness rod elements, which can be integrated in the design of robotic joints for rovers and drones to increase their impact and collision resilience.[36] In a related line of research, Floreano looks at the coevolution of the morphology of tensegrity robots, where he studies the influence of the form and stiffness of tensegrity modules on the evolution of the body and the brain of tensegrity robots. Floreano and his team showed how different morphology, control and locomotion strategies could be obtained based on varying stiffness of the tensegrity modules.[37]

Dario Floreano has published hundreds of peer-reviewed articles, tens of patents, as well as five books on neural networks, evolutionary robotics, bio-inspired artificial intelligence, bio-inspired flying robots, and most recently on "How Intelligent Machines Will Shape Our Future".[38] In 2017, Floreano was featured by The Economist in a centre-page portrait as a pioneer in evolutionary robotics and aerial robotics.[39] He was co-founder and member of the Board of Directors of the International Society for Artificial Life, Inc., member of the Board of Governors of the International Society for Neural Networks, Advisory Board member of the Future and Emerging Technology division of the European Commission, and founding members and vice-chair of the General Agenda Council on Robotics of the World Economic Forum.[40]

Throughout the years, Floreano has co-organized several international conferences in the fields of bio-mimetic engineering and is or has been on the editorial board of several international journals: Science Robotics; Neural Networks; Genetic Programming and Evolvable Machines; Adaptive Behavior; Artificial Life; Connection Science; Evolutionary Computation; IEEE Transactions on Evolutionary Computation; Autonomous Robots; Evolutionary Intelligence.

He was also creator and director of a podcast series which featured interviews with professionals in robotics and artificial intelligence for an inside view on the science, technology, and business of intelligent robotics. His former PhD students and postdocs continued and expanded the podcast, which became RoboHub.org.

In addition to academic research and teaching, Dario Floreano has also spun off two robotics companies that collectively employ over 250 persons in Switzerland and abroad: senseFly (2009, currently owned by the AgEagle Group), which has become a world leader in drones for agriculture and imaging; and Flyability (2015), which is the world leader in inspection drones for confined spaces. He also regularly lectures at international conferences, governmental meetings, and company events.

Selected works

  • Nolfi, Stefano; Floreano, Dario (2000). Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. ISBN 9780262640565.
  • Mondada, Francesco; Bonani, Michael; Raemy, Xavier; Pugh, James; Cianci, Christopher; Klaptocz, Adam; Magnenat, Stephane; Zufferey, Jean-Christophe; Floreano, Dario; Martinoli, Alcherio, eds. (2009). "The e-puck, a Robot Designed for Education in Engineering". Proceedings of the 9th Conference on Autonomous Robot Systems and Competitions.
  • Floreano, Dario; Wood, Robert J. (2015). "Science, technology and the future of small autonomous drones". Nature. 521 (7553): 460–466. Bibcode:2015Natur.521..460F. doi:10.1038/nature14542. PMID 26017445. S2CID 4463263.
  • Marbach, Daniel; Prill, Robert J.; Schaffter, Thomas; Mattiussi, Claudio; Floreano, Dario; Stolovitzky, Gustavo (2010). "Revealing strengths and weaknesses of methods for gene network inference". Proceedings of the National Academy of Sciences. 107 (14): 6286–6291. Bibcode:2010PNAS..107.6286M. doi:10.1073/pnas.0913357107. PMC 2851985. PMID 20308593.
  • Floreano, Dario; Dürr, Peter; Mattiussi, Claudio (2008). "Neuroevolution: From architectures to learning". Evolutionary Intelligence. 1: 47–62. doi:10.1007/s12065-007-0002-4. S2CID 2942634.
  • Shintake, Jun; Cacucciolo, Vito; Floreano, Dario; Shea, Herbert (2018). "Soft Robotic Grippers". Advanced Materials. 30 (29): e1707035. Bibcode:2018AdM....3007035S. doi:10.1002/adma.201707035. PMID 29736928. S2CID 13686166.
  • Floreano, Dario; Mattiussi, Claudio (22 August 2008). Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. ISBN 9780262303910.
  • Floreano, D.; Mondada, F. (1996). "Evolution of homing navigation in a real mobile robot". IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 26 (3): 396–407. doi:10.1109/3477.499791. PMID 18263042.
  • Shintake, Jun; Rosset, Samuel; Schubert, Bryan; Floreano, Dario; Shea, Herbert (2016). "Versatile Soft Grippers with Intrinsic Electroadhesion Based on Multifunctional Polymer Actuators". Advanced Materials. 28 (2): 231–238. Bibcode:2016AdM....28..231S. doi:10.1002/adma.201504264. PMID 26551665. S2CID 34468120.
  • Schaffter, Thomas; Marbach, Daniel; Floreano, Dario (2011). "GeneNet Weaver: In silico benchmark generation and performance profiling of network inference methods". Bioinformatics. 27 (16): 2263–2270. doi:10.1093/bioinformatics/btr373. PMID 21697125.

References

  1. ^ Hauert, Sabine (2010). Evolutionary Synthesis of Communication-Based Aerial Swarms. epfl.ch (PhD thesis). Ecole Polytechnique Fédérale de Lausanne. doi:10.5075/epfl-thesis-4900. OCLC 890692372.
  2. ^ "NCCR Robotics People".
  3. ^ "Governance". NCCR Robotics. Retrieved 2022-06-13.
  4. ^ "Eight new National Centres of Competence for Research to be launched". www.sbfi.admin.ch. Retrieved 2022-06-13.
  5. ^ a b Tom Standage (9 June 2017). "Dario Floreano: A pioneer of "evolutionary robotics" borrows drone designs from nature". The Economist. Retrieved 9 June 2017.
  6. ^ "Andras Kis and Dario Floreano Elected IEEE Fellows". EPFL News. 2022.
  7. ^ "People: European Centre for Living Technologies". 2022.
  8. ^ "Scientific Advisory Board". Max Planck Institute for Intelligent Systems. 2019.
  9. ^ Floreano, Dario; Wood, Robert J. (2015). "Science, technology and the future of small autonomous drones". Nature. 521 (7553): 460–466. doi:10.1038/nature14542. ISSN 1476-4687.
  10. ^ Hauert, Sabine; Winkler, Laurent; Zufferey, Jean-Christophe; Floreano, Dario (2008-12-01). "Ant-based swarming with positionless micro air vehicles for communication relay". Swarm Intelligence. 2 (2): 167–188. doi:10.1007/s11721-008-0013-5. ISSN 1935-3820.
  11. ^ Hauert, Sabine; Zufferey, Jean-Christophe; Floreano, Dario (2009). "Evolved swarming without positioning information: an application in aerial communication relay". Autonomous Robots. 26 (1): 21–32. doi:10.1007/s10514-008-9104-9. ISSN 1573-7527. {{cite journal}}: no-break space character in |title= at position 53 (help)
  12. ^ "Reynolds flocking in reality with fixed-wing robots: Communication range vs. maximum turning rate". ieeexplore.ieee.org. doi:10.1109/iros.2011.6095129. Retrieved 2023-10-27.
  13. ^ Roberts, James F.; Stirling, Timothy; Zufferey, Jean-Christophe; Floreano, Dario (2012). "3-D relative positioning sensor for indoor flying robots". Autonomous Robots. 33 (1–2): 5–20. doi:10.1007/s10514-012-9277-0. ISSN 0929-5593.
  14. ^ "Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms". ieeexplore.ieee.org. doi:10.1109/mra.2013.2252996. Retrieved 2023-10-27.
  15. ^ "On-Board Relative Bearing Estimation for Teams of Drones Using Sound". ieeexplore.ieee.org. doi:10.1109/lra.2016.2527833. Retrieved 2023-10-27.
  16. ^ "Vision-Based Drone Flocking in Outdoor Environments". ieeexplore.ieee.org. doi:10.1109/lra.2021.3062298. Retrieved 2023-10-27.
  17. ^ Soria, Enrica; Schiano, Fabrizio; Floreano, Dario (2021). "Predictive control of aerial swarms in cluttered environments". Nature Machine Intelligence. 3 (6): 545–554. doi:10.1038/s42256-021-00341-y. ISSN 2522-5839.
  18. ^ Miehlbradt, Jenifer; Cherpillod, Alexandre; Mintchev, Stefano; Coscia, Martina; Artoni, Fiorenzo; Floreano, Dario; Micera, Silvestro (2018-07-31). "Data-driven body–machine interface for the accurate control of drones". Proceedings of the National Academy of Sciences. 115 (31): 7913–7918. doi:10.1073/pnas.1718648115. ISSN 0027-8424. PMC 6077744. PMID 30012599.{{cite journal}}: CS1 maint: PMC format (link)
  19. ^ "FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control". ieeexplore.ieee.org. doi:10.1109/lra.2018.2810955. Retrieved 2023-10-27.
  20. ^ Rognon, Carine; Koehler, Margaret; Duriez, Christian; Floreano, Dario; Okamura, Allison M. (2019). "Soft Haptic Device to Render the Sensation of Flying Like a Drone". IEEE Robotics and Automation Letters. 4 (3): 2524–2531. doi:10.1109/LRA.2019.2907432. ISSN 2377-3766.
  21. ^ Rognon, Carine; Ramachandran, Vivek; Wu, Amy R; Ijspeert, Auke J; Floreano, Dario (2019-07-01). "Haptic Feedback Perception and Learning With Cable-Driven Guidance in Exosuit Teleoperation of a Simulated Drone". IEEE Transactions on Haptics. 12 (3): 375–385. doi:10.1109/TOH.2019.2925612. ISSN 1939-1412.
  22. ^ Macchini, Matteo; Havy, Thomas; Weber, Antoine; Schiano, Fabrizio; Floreano, Dario (2020). "Hand-worn Haptic Interface for Drone Teleoperation". IEEE International Conference on Robotics and Automation (ICRA). IEEE: 10212–10218. doi:10.1109/ICRA40945.2020.9196664. ISBN 978-1-7281-7395-5.
  23. ^ Ramachandran, Vivek; Schilling, Fabian; Wu, Amy R.; Floreano, Dario (2021). "Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning". Advanced Intelligent Systems. 3 (11). doi:10.1002/aisy.202100043. ISSN 2640-4567.
  24. ^ "The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation". ieeexplore.ieee.org. doi:10.1109/vr50410.2021.00075. Retrieved 2023-10-27.
  25. ^ "Personalized Telerobotics by Fast Machine Learning of Body-Machine Interfaces". ieeexplore.ieee.org. doi:10.1109/lra.2019.2950816. Retrieved 2023-10-27.
  26. ^ "Personalized Human-Swarm Interaction Through Hand Motion". ieeexplore.ieee.org. doi:10.1109/lra.2021.3102324. Retrieved 2023-10-27.
  27. ^ Germann, Jürg; Maesani, Andrea; Pericet-Camara, Ramon; Floreano, Dario (2014). "Soft Cells for Programmable Self-Assembly of Robotic Modules". Soft Robotics. 1 (4): 239–245. doi:10.1089/soro.2014.0005. ISSN 2169-5172.
  28. ^ Germann, Jürg; Auerbach, Joshua; Floreano, Dario (2014). del Pobil, Angel P.; Chinellato, Eris; Martinez-Martin, Ester; Hallam, John; Cervera, Enric; Morales, Antonio (eds.). "Programmable Self-assembly with Chained Soft Cells: An Algorithm to Fold into 2-D Shapes". From Animals to Animats 13. Lecture Notes in Computer Science. Cham: Springer International Publishing: 220–229. doi:10.1007/978-3-319-08864-8_21. ISBN 978-3-319-08864-8.
  29. ^ Germann, Jurg; Schubert, Bryan; Floreano, Dario (2014). "Stretchable electroadhesion for soft robots". IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE: 3933–3938. doi:10.1109/IROS.2014.6943115. ISBN 978-1-4799-6934-0.
  30. ^ Tonazzini, Alice; Mintchev, Stefano; Schubert, Bryan; Mazzolai, Barbara; Shintake, Jun; Floreano, Dario (2016). "Variable Stiffness Fiber with Self‐Healing Capability". Advanced Materials. 28 (46): 10142–10148. doi:10.1002/adma.201602580. ISSN 0935-9648.
  31. ^ Chautems, Christophe; Tonazzini, Alice; Boehler, Quentin; Jeong, Seung Hee; Floreano, Dario; Nelson, Bradley J. (2020). "Magnetic Continuum Device with Variable Stiffness for Minimally Invasive Surgery". Advanced Intelligent Systems. 2 (6). doi:10.1002/aisy.201900086. ISSN 2640-4567.
  32. ^ "A Soft Robot for Random Exploration of Terrestrial Environments". ieeexplore.ieee.org. doi:10.1109/icra.2018.8460667. Retrieved 2023-10-27.
  33. ^ Shintake, Jun; Zappetti, Davide; Peter, Timothee; Ikemoto, Yusuke; Floreano, Dario (2020). "Bio-inspired Tensegrity Fish Robot". IEEE International Conference on Robotics and Automation (ICRA). IEEE: 2887–2892. doi:10.1109/ICRA40945.2020.9196675. ISBN 978-1-7281-7395-5.
  34. ^ Zappetti, Davide; Jeong, Seung Hee; Shintake, Jun; Floreano, Dario (2020). "Phase Changing Materials-Based Variable-Stiffness Tensegrity Structures". Soft Robotics. 7 (3): 362–369. doi:10.1089/soro.2019.0091. ISSN 2169-5172. PMC 7301330. PMID 31851862.{{cite journal}}: CS1 maint: PMC format (link)
  35. ^ Zappetti, Davide; Arandes, Roc; Ajanic, Enrico; Floreano, Dario (2020-07-01). "Variable-stiffness tensegrity spine". Smart Materials and Structures. 29 (7): 075013. doi:10.1088/1361-665X/ab87e0. ISSN 0964-1726.
  36. ^ Zappetti, Davide; Sun, Yi; Gevers, Matthieu; Mintchev, Stefano; Floreano, Dario (2022). "Dual Stiffness Tensegrity Platform for Resilient Robotics". Advanced Intelligent Systems. 4 (7). doi:10.1002/aisy.202200025. ISSN 2640-4567.
  37. ^ Zardini, Enrico; Zappetti, Davide; Zambrano, Davide; Iacca, Giovanni; Floreano, Dario (2021-06-26). "Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots". ACM: 189–197. doi:10.1145/3449639.3459311. ISBN 978-1-4503-8350-9. {{cite journal}}: Cite journal requires |journal= (help)
  38. ^ "Publications". EPFL. Retrieved 2022-12-24.
  39. ^ "Dario Floreano". The Economist. ISSN 0013-0613. Retrieved 2023-10-27.
  40. ^ "Talk at the World Economic Forum". EPFL News. 2010.

External links

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