Soft robotics: a bioinspired evolution in robotics.
By Sangbae Kim, Cecilia Laschi, B. Trimmer. Trends in Biotechnology, 2013
1,830 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/d9789c8efab2763c133777e1cec6fb948199dbda
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
- Daniela Rus
- Matteo Cianchetti
- Zhong Lin Wang
- Barbara Mazzolai
- Michael Thomas Tolley
- Caofeng Pan
- Cecilia Laschi
- Carmel Majidi
In Condensed Matter Physics
- Daniela Rus
- Matteo Cianchetti
- Michael Thomas Tolley
- Barbara Mazzolai
- Carmel Majidi
- J. Lewis
- Caofeng Pan
- Cecilia Laschi
In Mechanical Engineering
- Daniela Rus
- Matteo Cianchetti
- Barbara Mazzolai
- Zhong Lin Wang
- Cecilia Laschi
- Michael Thomas Tolley
- Caofeng Pan
- J. Lewis
Citations in the corpus
- Control Strategies for Soft Robotic Manipulators: A Survey (2018, positive): “Leveraged by their light weight, compact, and inherently safe structure, they can be used in various complex scenarios with elementary control strategies.(9,10) Current trends in soft robot are individual efforts based on novel actuation, design, sensing, and control technologies for particular appl”
- Morphing in nature and beyond: a review of natural and synthetic shape-changing materials and mechanisms (2016, background): “[16] Kim S, Laschi C, Trimmer B (2013) Soft robotics: a”
- Flexible and Stretchable Electronics Paving the Way for Soft Robotics (2014, positive): “Soft sensors and actuators enabled by flexible and stretchable electronics can offer transformational opportunities for soft robots.(49,50) One of the ultimate goals of modern robotics is their seamless interfacing with humans.”
- Soft Robots Manufacturing: A Review (2018, background): “Finally, bioinspiration is a vast source of inspiration for soft robots (Kim et al., 2013) as it has fueled the field since its early beginnings.”
- 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.”