@article{c0ee2537f40549eab80af1433aa0f431,
title = "A brittle star-like robot capable of immediately adapting to unexpected physical damage",
abstract = "A major challenge in robotic design is enabling robots to immediately adapt to unexpected physical damage. However, conventional robots require considerable time (more than several tens of seconds) for adaptation because the process entails high computational costs. To overcome this problem, we focus on a brittle star—a primitive creature with expendable body parts. Brittle stars, most of which have five flexible arms, occasionally lose some of them and promptly coordinate the remaining arms to escape from predators. We adopted a synthetic approach to elucidate the essential mechanism underlying this resilient locomotion. Specifically, based on behavioural experiments involving brittle stars whose arms were amputated in various ways, we inferred the decentralized control mechanism that self-coordinates the arm motions by constructing a simple mathematical model. We implemented this mechanism in a brittle star-like robot and demonstrated that it adapts to unexpected physical damage within a few seconds by automatically coordinating its undamaged arms similar to brittle stars. Through the above-mentioned process, we found that physical interaction between arms plays an essential role for the resilient inter-arm coordination of brittle stars. This finding will help develop resilient robots that can work in inhospitable environments. Further, it provides insights into the essential mechanism of resilient coordinated motions characteristic of animal locomotion.",
keywords = "Brittle star, Decentralized control, Resilient robot",
author = "Takeshi Kano and Eiki Sato and Tatsuya Ono and Hitoshi Aonuma and Yoshiya Matsuzaka and Akio Ishiguro",
note = "Funding Information: Ethics. The handling and the use of the animals were done in accordance with the institutional guidelines for laboratory animal use. Data accessibility. Data are available in the electronic supplementary material. Authors{\textquoteright} contributions. T.K. designed the study and control scheme, and wrote the initial drafts of the manuscript. E.S. and T.O. designed the control scheme and robot, carried out the experiments, and analysed the data. H.A. and Y.M. designed the control scheme and revised the manuscript. A.I. directed the project, designed the study and control scheme, and revised the manuscript. Competing interests. The authors declare no competing financial interests. Funding. This work was supported by a Grant-in-Aid for Scientific Research (A) (no. 24246074) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan; by a programme for creation of interdisciplinary research at Frontier Research Institute for Interdisciplinary Sciences (FRIS), Tohoku University, Japan; and by a Grant-in-Aid for Scientific Research (B) (no. 16KT0099) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. Acknowledgements. The authors would like to thank Prof. Ryo Kobayashi (Hiroshima University), Dr Dai Owaki (Tohoku University) and Elizabeth Clark (Yale University) for their insightful suggestions. The authors also extend their gratitude to Daichi Kanauchi (Tohoku University) for his assistance in the behavioural experiments and Steve Heim (Tohoku University) for his assistance in creating the supplementary movie. Publisher Copyright: {\textcopyright} 2017 The Authors.",
year = "2017",
month = dec,
day = "13",
doi = "10.1098/rsos.171200",
language = "English",
volume = "4",
journal = "Royal Society Open Science",
issn = "2054-5703",
publisher = "The Royal Society",
number = "12",
}