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タイトル: | Information processing via physical soft body |
著者: | Nakajima, Kohei Hauser, Helmut Li, Tao Pfeifer, Rolf |
著者名の別形: | 中嶋, 浩平 |
発行日: | 27-May-2015 |
出版者: | Nature Publishing Group |
誌名: | Scientific Reports |
巻: | 5 |
論文番号: | 10487 |
抄録: | Soft machines have recently gained prominence due to their inherent softness and the resulting safety and resilience in applications. However, these machines also have disadvantages, as they respond with complex body dynamics when stimulated. These dynamics exhibit a variety of properties, including nonlinearity, memory, and potentially infinitely many degrees of freedom, which are often difficult to control. Here, we demonstrate that these seemingly undesirable properties can in fact be assets that can be exploited for real-time computation. Using body dynamics generated from a soft silicone arm, we show that they can be employed to emulate desired nonlinear dynamical systems. First, by using benchmark tasks, we demonstrate that the nonlinearity and memory within the body dynamics can increase the computational performance. Second, we characterize our system's computational capability by comparing its task performance with a standard machine learning technique and identify its range of validity and limitation. Our results suggest that soft bodies are not only impressive in their deformability and flexibility but can also be potentially used as computational resources on top and for free. |
著作権等: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
URI: | http://hdl.handle.net/2433/212471 |
DOI(出版社版): | 10.1038/srep10487 |
PubMed ID: | 26014748 |
出現コレクション: | 学術雑誌掲載論文等 |
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