Design, fabrication and control of soft robots
By Daniela Rus, Michael Thomas Tolley. Nature, 2015
5,272 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/9ba6d7604f06479e64e292dd78d8a48c612dd374
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
- Barbara Mazzolai
- Zhong Lin Wang
- Michael Thomas Tolley
- Robert J. Wood
- Cecilia Laschi
- J. Lewis
In Condensed Matter Physics
- Daniela Rus
- Robert J. Wood
- Matteo Cianchetti
- Michael Thomas Tolley
- Barbara Mazzolai
- Cecilia Laschi
- J. Lewis
- Nikolaus Correll
In Mechanical Engineering
- Daniela Rus
- Matteo Cianchetti
- Barbara Mazzolai
- Robert J. Wood
- Michael Thomas Tolley
- Zhong Lin Wang
- J. Lewis
- Cecilia Laschi
Citations in the corpus
- Soft Robotics: A Review of Recent Developments of Pneumatic Soft Actuators (2020, methodology): “For soft robots, movement is conducted by using variable length tendons [3], by pneumatic actuations, or even more recently by twist-and-coil actuators [4], as seen in Figure 1.”
- Soft robot perception using embedded soft sensors and recurrent neural networks (2019, background): “With the rise of soft robotics and the complexities involved with modeling and development of soft robots (1, 2), we are presented with new challenges in perception.”
- An autonomous untethered fast soft robotic insect driven by low-voltage dielectric elastomer actuators (2019, background): “4, eaaz6451 (2019) 18 December 2019 increased the weight and power consumption.”
- An integrated design and fabrication strategy for entirely soft, autonomous robots (2016, methodology): “Molded and laminated elastomers with embedded pneumatic networks are 38 widely used materials in soft robotics.(1,21) Actuation of these elastomeric composites occurs when 39 interconnected channels comprising the pneumatic network are inflated with incompressible 40 fluids or gases supplied via tet”
- Fluid-driven origami-inspired artificial muscles (2017, methodology): “ρ = Wa ma = El/∆t ma = mload × g × hload ma∆t (27)”