M
Matteo Cianchetti
Researcher at Sant'Anna School of Advanced Studies
Publications - 136
Citations - 8464
Matteo Cianchetti is an academic researcher from Sant'Anna School of Advanced Studies. The author has contributed to research in topics: Soft robotics & Robot. The author has an hindex of 34, co-authored 117 publications receiving 5940 citations. Previous affiliations of Matteo Cianchetti include Istituto Italiano di Tecnologia & Industrial Technology Research Institute.
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Soft robotics: Technologies and systems pushing the boundaries of robot abilities.
TL;DR: The challenge ahead for soft robotics is to further develop the abilities for robots to grow, evolve, self-heal, develop, and biodegrade, which are the ways that robots can adapt their morphology to the environment.
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Soft Robot Arm Inspired by the Octopus
Cecilia Laschi,Matteo Cianchetti,Barbara Mazzolai,Laura Margheri,Maurizio Follador,Paolo Dario +5 more
TL;DR: The prototype of a robot arm has been built based on an artificial muscular hydroStat inspired to the muscular hydrostat of the Octopus vulgaris, which emerges as a good model for embodied intelligence and for soft robotics.
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Biomedical applications of soft robotics
TL;DR: This Review investigates soft robots for biomedical applications, including soft tools for surgery, diagnosis and drug delivery, wearable and assistive devices, prostheses, artificial organs and tissue-mimicking active simulators for training and biomechanical studies.
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Soft Robotics: Review of Fluid‐Driven Intrinsically Soft Devices; Manufacturing, Sensing, Control, and Applications in Human‐Robot Interaction
Panagiotis Polygerinos,Nikolaus Correll,Stephen A. Morin,Bobak Mosadegh,Cagdas D. Onal,Kirstin Petersen,Matteo Cianchetti,Michael T. Tolley,Robert F. Shepherd +8 more
TL;DR: In this paper, the authors focus on a particular type of intrinsically soft, elastomeric robot powered via fluidic pressurization, and present a review of their use in soft robotics.
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Stiffening in Soft Robotics: A Review of the State of the Art
TL;DR: The core challenge of soft robotics research is, in fact, the variability and controllability of such deformability and compliance.