Thermally Tunable, Self-Healing Composites for Soft Robotic Applications

By Nadia Cheng, A. Gopinath, Lifeng Wang, K. Iagnemma, Anette E. Hosoi. 2014

165 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/530b7edb270f5f93561b3cd96fb6da3178a2a20c

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. Fumiya Iida
2. Andre Rosendo
3. Qibing Pei
4. Robert D. Howe
5. Carmel Majidi
6. Utku Çulha
7. Fabio Giardina
8. Josie Hughes

In Condensed Matter Physics

1. Andre Rosendo
2. Carmel Majidi
3. Utku Çulha
4. Fumiya Iida
5. Fabio Giardina
6. Josie Hughes
7. Fabian Günther

In Mechanical Engineering

1. Andre Rosendo
2. Qibing Pei
3. Carmel Majidi
4. Utku Çulha
5. Fumiya Iida
6. Fabio Giardina
7. Josie Hughes
8. J. Vlassak

Citations in the corpus

• Controllable and reversible tuning of material rigidity for robot applications (2018, methodology): “(1) 3D-printed flexible scaffolds coated with wax, (2) uncoated with wax [64].”
• Mechanically Versatile Soft Machines through Laminar Jamming (2018, background): “[11] NG Cheng, A Gopinath, L Wang, K Iagnemma, and AE Hosoi.”
• Soft Manipulators and Grippers: A Review (2016, background): “New materials such as foams are being developed for soft robotic applications and have significant potential with innovative properties such as thermally tuneability and self-healing properties (Cheng et al., 2014).”