Cecilia Laschi

Prof. Cecilia Laschi

The BioRobotics Institute Scuola Superiore Sant'Anna Piazza Martiri della Libertà, 33 56127 Pisa, Italy

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2013 in Trends in Biotechnology
Verified
Journal Article
Closed access
SKSangbae Kim
Sangbae Kim
CLCecilia Laschi
Cecilia Laschi
BTBarry Trimmer
Barry Trimmer

6 December 2016 in Science Robotics
Verified
Journal Article
Closed access
PDF file
CLCecilia Laschi
Cecilia Laschi
BMBarbara Mazzolai
Barbara Mazzolai
MCMatteo Cianchetti
Matteo Cianchetti
Soft materials and deformable structures have given robots the ability to stretch, squash, climb, and morph, with potential for biodegradability and self-healing.

23 May 2018 in Nature Reviews Materials
Verified
Journal Article
Closed access
PDF file
Matteo CianchettiMatteo Cianchetti
Matteo Cianchetti
CLCecilia Laschi
Cecilia Laschi
AMArianna Menciassi
Arianna Menciassi
PDPaolo Dario
Paolo Dario

1 January 2012 in Advanced Robotics
Verified
Journal Article
Closed access
CLCecilia Laschi
Cecilia Laschi
Matteo CianchettiMatteo Cianchetti
Matteo Cianchetti
BMBarbara Mazzolai
Barbara Mazzolai
LMLaura Margheri
Laura Margheri
MFMaurizio Follador
Maurizio Follador
PDPaolo Dario
Paolo Dario
The octopus is a marine animal whose body has no rigid structures. It has eight arms composed of a peculiar muscular structure, named a muscular hydrostat. The octopus arms provide it with both loc...

30 January 2019 in Science Robotics
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Journal Article
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TTThomas George Thuruthel
Thomas George Thuruthel
BSBenjamin Shih
Benjamin Shih
CLCecilia Laschi
Cecilia Laschi
MTMichael Thomas Tolley
Michael Thomas Tolley
Recurrent neural networks with an unstructured redundant soft sensor topology allow robust multimodal proprioceptive capabilities.

9 June 2014 in IEEE Transactions on Robotics
Verified
Journal Article
Closed access
FRFederico Renda
Federico Renda
MGMichele Giorelli
Michele Giorelli
MCMarcello Calisti
Marcello Calisti
Matteo CianchettiMatteo Cianchetti
Matteo Cianchetti
CLCecilia Laschi
Cecilia Laschi
The new and promising field of soft robotics has many open areas of research such as the development of an exhaustive theoretical and methodological approach to dynamic modeling. To help contribute to this area of research, this paper develops a dynamic model of a continuum soft robot arm driven by cables and based upon a rigorous geometrically exact approach. The model fully investigates both dynamic interaction with a dense medium and the coupled tendon condition. The model was experimentally validated with satisfactory results, using a soft robot arm working prototype inspired by the octopus arm and capable of multibending. Experimental validation was performed for the octopus most characteristic movements: bending, reaching, and fetching. The present model can be used in the design phase as a dynamic simulation platform and to design the control strategy of a continuum robot arm moving in a dense medium.