Biomedical applications of soft robotics

By Matteo Cianchetti, Cecilia Laschi, Arianna Menciassi, Paolo Dario. Nature Reviews Materials, 2018

1,232 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Condensed Matter Physics

View Paper: https://www.semanticscholar.org/paper/a93cf103b67c8c004ca48cb877affdc944adc437

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Daniela Rus
2. Cosimo Della Santina
3. Mokarram Hossain
4. A. Bastola
5. Christian Duriez

In Condensed Matter Physics

1. Daniela Rus
2. Cosimo Della Santina
3. Mokarram Hossain
4. A. Bastola
5. Christian Duriez

Citations in the corpus

• Model-Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges (2021, background): “Of the many review articles about soft robotics [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], only [11] is focused on the control challenge, which does not follow a model-based approach.”
• The shape – morphing performance of magnetoactive soft materials (2021, background): “Therefore, soft intelligent materials are attracted in many applications including soft robotics [22,23], biomedical engineering [24,25], shape-morphing structures [26,27], sensors and actuators [12,22-30].”