Investigating the effects of material ratio scenarios on soft robot design based on morphology–material–control coevolution

Author:

Shimaoka Nanako,Suzuki Reiji,Arita Takaya

Publisher

Springer Science and Business Media LLC

Reference20 articles.

1. Bhatia J, Jackson H, Tian Y, Xu J, Matusik W (2021) Evolution gym: a large-scale benchmark for evolving soft robots. Adv Neural Inf Process Syst 34:2201–2214

2. Cheney N, MacCurdy R, Clune J, Lipson H (2014) Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. ACM SIGEVOl 7(1):11–23

3. Chervenski P, Ryan S (2014) Multineat. https://github.com/peter-ch/MultiNEAT

4. Corucci F, Cheney N, Giorgio-Serchi F, Bongard J, Laschi C (2018) Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. Soft Robot 5(4):475–495

5. Google Inc (2017) Liquidfun. http://google.github.io/liquidfun/

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