A soft robot that navigates its environment through growth

By E. Hawkes, Laura H. Blumenschein, Joseph D. Greer, Allison M. Okamura. Science Robotics, 2017

899 citations recorded by the source corpus.

Subfields: Condensed Matter Physics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/9afad703c811e9b9db96dedbeeb28e9332264c5a

How researchers see this paper

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

1. M. Otaduy
2. Javier Tapia
3. Espen Knoop
4. Mojmír Mutný
5. Moritz Bächer
6. Zalán Borsos

Citations in the corpus

• MakeSense: Automated Sensor Design for Proprioceptive Soft Robots (2019, background): “These technologies are enabling functional materials and fully-functional robots 16,17,18,19 that show potential in applications including deep-sea exploration 20 , search-and-rescue 21,22 , surgical robotics 23 , grasping 24 , and prosthetics and wearable devices 25,26,27 .”