On the Science of Soft Robots and Beyond
Author:
Affiliation:
1. The University of Tokyo
Publisher
The Robotics Society of Japan
Link
https://www.jstage.jst.go.jp/article/jrsj/42/6/42_42_536/_pdf
Reference46 articles.
1. 1) K. Nakajima, H. Hauser, R. Kang, E. Guglielmino, D.G. Caldwell and R. Pfeifer: “Computing with a muscular-hydrostat system,” 2013 IEEE international conference on robotics and automation, pp.1504–1511, 2013.
2. 2) K. Nakajima, H. Hauser, R. Kang, E. Guglielmino, D.G. Caldwell and R. Pfeifer: “A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm,” Frontiers in computational neuroscience, vol.7, no.91, 2013.
3. 3) K. Nakajima, T. Li, H. Hauser and R. Pfeifer: “Exploiting short-term memory in soft body dynamics as a computational resource,” Journal of The Royal Society Interface, vol.11, no.100, 20140437, 2014.
4. 4) K. Nakajima, H. Hauser, T. Li and R. Pfeifer: “Information processing via physical soft body,” Scientific reports, vol.5, no.1, 10487, 2015.
5. 5) K. Nakajima, H. Hauser, T. Li and R. Pfeifer: “Exploiting the dynamics of soft materials for machine learning,” Soft robotics, vol.5, no.3, pp.339–347, 2018.
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