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The science of soft robots, or soft robotics, is currently one of the most active fields in robotics. While traditional robots consist of rigid bodies, powerful servomotors, and carefully coded programs to realize power, precision, and reliability, soft robots consist of soft and flexible bodies, actuators, and intelligence for adaptability. They are not rigid, but instead flexible toward their surroundings. These differences have the potential to make soft robotics a great new field in robotics. A JSPS KAKENHI project "Science of Soft Robots" has been in progress in Japan since 2018. Part of this special issue is made in collaboration with this project. This special issue consists of 46 works in total: 2 review papers, 29 letters, and 15 papers. One review paper, 29 letters, and 3 research papers report research activities from the JSPS KAKENHI project, and the other review paper and 12 research papers have been contributed from outside the project. As this issue will make clear, the science of soft robots is a very interdisciplinary academic field, a collaboration of many researchers from various fields, such as mechanical/electrical engineering, computer science, material sciences, biology, zoology, medicine, and nursing, among others. We believe interdisciplinary work to be a key point for the exploration of soft robotics. The editors thank all of the authors and reviewers of the contributions, and are confident that this special issue will greatly contribute to further progress in robotics. [ABSTRACT FROM AUTHOR]

Using the InCites tool of Thomson Reuters, this study compares normalized citation impact values calculated for China, Japan, France, Germany, United States, and the UK throughout the time period from 1981 to 2010. InCites offers a unique opportunity to study the normalized citation impacts of countries using (i) a long publication window (1981 to 2010), (ii) a differentiation in (broad or more narrow) subject areas, and (iii) allowing for the use of statistical procedures in order to obtain an insightful investigation of national citation trends across the years. Using four broad categories, our results show significantly increasing trends in citation impact values for France, the UK, and especially Germany across the last thirty years in all areas. The citation impact of papers from China is still at a relatively low level (mostly below the world average), but the country follows an increasing trend line. The USA exhibits a stable pattern of high citation impact values across the years. With small impact differences between the publication years, the US trend is increasing in engineering and technology but decreasing in medical and health sciences as well as in agricultural sciences. Similar to the USA, Japan follows increasing as well as decreasing trends in different subject areas, but the variability across the years is small. In most of the years, papers from Japan perform below or approximately at the world average in each subject area. [ABSTRACT FROM AUTHOR]

This special issue focuses on Discovery Science (DS), which is a scientific discipline on any discovery process that is mainly approached by computer science. DS first started as a national project in Japan involving more than 100 researchers in 1998 and the project gave birth to a series of international conferences on DS, which have been held successfully every year since 1998. The objective of this special issue is to provide a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in the field of DS. Seven papers, ranging in a spectrum from basic theoretical research to solid application research, are included in this special issue. [ABSTRACT FROM PUBLISHER]