In biological and social systems, a “swarm” refers to a group of individual units that behave as a single intelligent entity. “Swarm behavior,” the collective result of the local interactions among the group members, exhibits what is called “swarm intelligence.” By identifying the design principles of such swarm intelligence, we may be able to create swarm robots that are highly adaptable, fault tolerant, and dimensionally flexible.

An interdisciplinary approach, including disciplines ranging from technology to biology to the mathematical sciences, for example, is used to elucidate the design principles of swarm intelligence. We believe that such knowledge will lead to transformations in the field of swarm robotics.

This special issue highlights 19 exciting papers, including 13 research papers, five review papers, and one letter. Some papers focus on understanding the mechanism of real swarm phenomena, while the other papers focus on designing intelligent swarm systems. The keywords of the papers are as follows.

• Swarm intelligence

• Interdisciplinary approach

• Decentralized control

• Swarm robot

• Collective behavior

We would like to express our gratitude to all authors and reviewers, and we hope that this special issue contributes to future research and development in swarm intelligence.

In today’s super-aging society, it is essential to maintain and improve the quality of life of the elderly and to counter the shortage of young workers. Such problems are becoming evident in several areas, not just in the manufacturing sector but also in the fields of transport/mobility and healthcare/welfare. In these fields, there is an abundance of situations that cannot be solved simply by replacing human workers with robots. In the manufacturing sector, for instance, the transmission of skills and knowledge is threatened as the members of the baby boomer generation, who have both knowledge and experience, have reached retirement age at a time when the younger population is declining. Another example is the provision of care with human warmth at nursing sites. As we evolve toward Society 5.0, which is represented by a digital transformation and which encompasses elements such as digital twins, it will be critical to pioneer robotic technologies that allow robots to work with humans to achieve a prosperous coexistence and create an affluent society. For this special issue, which features humancentric robotic systems coexisting and working together with humans, we invited researchers to submit papers covering a wide range of topics, including element technologies as well as operating and evaluation methods.

This special issue on Humancentric Robotic Technology and its Applications for Coexistence with Humans includes two review papers, 29 regular papers, and two development reports that cover the following topics.

• Research on rehabilitation equipment and training systems

• Research on power assist and support actuators

• Research on human-robot interaction systems

• Research on motor characteristics and the musculoskeletal system

• Research on the utilization and development of vital signs and sensors

• Research on IoT technology and smart technologies

We thank all authors and reviewers of the papers, as well as the Editorial Board of the Journal of Robotics and Mechatronics, for their help with this special issue.

Autonomous mobility, as exemplified by self-driving cars, autonomous mobile robots, drones, etc., is essential to the acceleration and practical application of transportation services and the automation of delivery, guidance, security, and inspection. Therefore, in recent years, expectations have been building for autonomous mobility to grow as a technology that not only improves the convenience and comfort of transportation and the efficiency of logistics but also leads to solutions to various social problems. Various technological elements are required to ensure the safety and quality of autonomous mobility. For example, technology is needed to create environmental maps and automatically determine obstacles based on data acquired by cameras and sensors such as LiDAR. Technologies for planning appropriate routes and controlling robots safely and comfortably are also essential.

This special issue highlights 24 exciting papers, including 20 research papers, three letters, and one development report. They are related to “recognition,” “decision and planning,” and “control” technologies for autonomous mobile robots, such as self-driving cars and drones. The papers’ keywords are as follows:

• Collision avoidance, path planning, path tracking control

• Motion control, attitude control

• Measurement, position and posture estimation, modeling

• Point cloud processing

We would like to express our gratitude to all authors and reviewers, and we hope that this special issue contributes to future research and development in autonomous mobility.

We are pleased to announce that the 15th Journal of Robotics and Mechatronics Best Paper Award (JRM Best Paper Award 2022) has been decided by the JRM editorial committee.

The following paper won the JRM Best Paper Award 2022, severely selected from among all 123 papers published in Vol.33 (2021). The Best Paper Award ceremony was held on December 23, 2022 in hybrid style (both on-site and online; venue: Gakushi-Kaikan, Tokyo, Japan), attended by the authors and JRM editorial committee members who took part in the selection process. The award winners were given certificates and a nearly US$1,000 honorarium. Editorial committee members who participated online also congratulated them through Zoom.

We congratulate the winners and sincerely wish them success in the future.

JRM Best Paper Award 2022

Title: 300-N Class Convex-Based Telescopic Manipulator and Trial for 3-DOF Parallel Mechanism Robot

Authors: Takashi Kei Saito, Kento Onodera, Riku Seino,
Takashi Okawa, and Yasushi Saito

J. Robot. Mechatron., Vol.33, No.1, pp. 141-150, February 2021

The World Robot Challenge was organized to stimulate and gather findings in robotics and their applications to three important fields: Industrial Robotics, Service Robotics, and Disaster Robotics, which constituted three categories for the competition. Researchers and professionals from all over the world in the field of robotics were provided a unique opportunity to showcase their work by solving unprecedented problems, on the spot. Computer vision, robust control, navigation, and manipulation are some of the key elements to create robots that could solve the challenges proposed during the competition.

This special issue provides some examples of the work developed and performed in that aim, that could serve for the future of robotics applications in the three designated fields but not only.

The three first papers are the results of the convenience store challenge for Service Robotics. In this challenge, identifying objects and pose estimation of object are crucial for the acquisition of knowledge and robot manipulation, shelfing and logistics, as detailed in the first two papers. Robot’s navigation is also paramount for cleaning and operating in the human environment, such is the topic of the third paper.

The Industrial Robotics challenge focuses on parts pick and place and assembly of complex elements. The fourth and 5th papers of this special issue deal with this topic.

Finally the Disaster Robotics challenge presents the more versatile components as a disaster area may be of multiform and of very complex nature, depending of the nature of the disaster, whether it is indoor or outdoor etc. The last three papers of the special issue deal with such a various nature for plant inspection, for the control of robots in disaster area, or the rescue robot in confined spaces such as tunnels.

We hope this collection of work carefully selected, will provide the reader with insights for the future developments of robots.

In recent years, the field of robots for medical applications has been expanding rapidly. Robots effectively augment their operators’ skills, enabling them to achieve accuracy and high precision during complex procedures. The use of robots improves the quality of life of patients and the quality of medical research. Therefore, the research and development of robots for medical applications will become more active in aging societies. This special issue focuses on the design and control of robots as well as integrated technologies for robots for medical applications. These include navigation, simulator, image guidance, training, and validation technologies for robots.

The special issue consists of 17 papers with various studies related to medical robots. There are 7 papers on assistant robots, including their passive and active controls, devices, and sensors. There are 10 papers related to minimally invasive surgery and neurosurgery involving robots, including papers on sensors, actuators, navigation, haptic display devices, the mechanical design of devices, and other topics. The editors are confident that this special issue will greatly contribute to further progress in robotics

We sincerely thank the authors for their fine contributions and the reviewers for their generous contributions of time and effort. We would also like to thank the Editorial Board of the Journal of Robotics and Mechatronics for their help with this special issue.

In recent years, advances in CMOS imagers and AI have rapidly expanded the application fields of image processing. Spatial resolution, sensitivity, dynamic range, etc. for devices have dramatically improved, while various recognition functions have been implemented with the introduction of learning-based information processing, making progress day by day. However, the temporal resolution or temporal dynamics of an image has been limited to the video rate level of processing, because image processing has been required to realize the functions of the human eye. In the case of processing for high-speed moving objects or controlling machine dynamics as machine eyes, rather than processing in the range visible to the human eye, high-speed vision, i.e., high-speed image processing in a bandwidth that covers the dynamics of the object, and a system that utilizes such processing, are required. This special issue summarizes such advanced research on high-speed vision, highlighting its current status and future development in the areas of devices, systems, and application developments.

High-speed vision has entered a new era, as the basic technology and various applications have been developed and new functions are being added one after another. We hope that this timely special issue will help its readers grasp this major technological trend and create new system values.

“Hyper-adaptability” is the capability of the central nervous system (brain and spinal cord) to manage the impairment of sensory, motor, and cognitive functions by reactivating and recruiting pre-existing networks that are latent but available. In studying hyper-adaptability, interdisciplinary research that integrates mathematical modeling and robotic technologies with neuroscience findings is important. Thanks to support from Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) in the form of Grant-in-Aid for Scientific Research on Innovative Areas, the Hyper-adaptability Research Project started in July 2019.

The research works reported in this special issue are the latest achievements of the Hyper-adaptability Research Project. The special issue consists of three review articles and 10 research papers. These contributions cover a wide range of hyper-adaptability research activities, including neurophysiological experiments, functional neuroimaging, mathematical modeling of brain and musculoskeletal systems, cognitive psychological experiments, and robotic / virtual reality interventions for neurorehabilitation, carried out to clarify the mechanisms of hyper-adaptability.

We thank the authors for submitting their latest achievements and the reviewers for dedicating their time and effort to the review process. We also thank the editorial board of the Journal of Robotics and Mechatronics for supporting the publication of this special issue.

The decommissioning of the Fukushima Daiichi Nuclear Power Plant, the plant affected by the Great East Japan Earthquake, will continue for a long time to come, but few young people are willing to take on the challenge because they tend to have the impression that decommissioning work is a post-accident cleanup. However, decommissioning is the most important issue for Fukushima and is of global importance.

Therefore, the National Institute of Technology, Fukushima College (Fukushima KOSEN), which is located closest to the Fukushima Daiichi Nuclear Power Plant, established a council of cooperation and started the Creative Robot Contest for Decommissioning in cooperation with other National Institute of Technologies (KOSEN) to increase the awareness and interest in decommissioning among the young.

The robot contest, themed on issues related to the decommissioning of the Fukushima Daiichi Nuclear Power Plant, has been held annually since 2016 for students of KOSEN across Japan, and the 7th Creative Robot Contest for Decommissioning is scheduled to be held in December 2022.

Although the ideas and robots developed by KOSEN students from all over Japan to solve the problems involved in the decommissioning will not directly contribute to future decommissioning work, the ideas and technologies learned can be used in other fields, and the participating students are expected to be active in a wide range of fields as well.

This special issue contains review papers of the Creative Robot Contest for Decommissioning, development reports, and research papers on the robots developed. A total of eight papers are included: two review papers, two research papers, and four development reports on decommissioning robots designed by students.

At the same time, we hope that young people in Japan and abroad will also become interested in the robots introduced in this special issue, and that the decommissioning work of Fukushima Daiichi Nuclear Power Plant will proceed safely and securely by combining the wisdom of the whole world.

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.

Field robotics has been undergoing rapid progress in recent years. It addresses a wide range of activities performed in outdoor environments, and its applications are being developed in areas where it was previously considered difficult to apply. This rapid progress is largely supported by AI-based improvements in computer vision systems with monocular cameras, stereo cameras, RGB-D cameras, LiDAR systems, and/or other sensors. Field robotics is impelled by an application-driven approach by its nature, and it contributes to the resolution of social problems and the creation of new innovations, including autonomous driving to reduce casualties, autonomous working machines/robots to resolve the problems of labor shortages or dangers, disaster-response robots to aid rescue parties, various kinds of aerial robots to do searches or make deliveries, underwater robots to perform search missions, etc.

In this special issue on “Field Robotics with Vision Systems,” we highlight sixteen interesting papers, including one review paper, fourteen research papers, and one development report. They cover various application areas, ranging from underwater to space environments, and they propose interesting integration methods or element technologies to use in outdoor environments where vision systems and robot systems have great difficulty performing robustly.

We thank all authors and reviewers, and we hope that this special issue contributes to future research and development in area of field robotics, which promises new innovations.

Information technologies, such as IoT, artificial intelligence (AI), and virtual reality (VR), have seen so much development that there is now a wide variety of digital equipment incorporated into the infrastructure of daily life. From the agrarian society (Society 1.0) through the information society (Society 4.0), humankind has created farmlands and cities by structuring natural environments physically and has built information environments by structuring them informationally. However, despite the rapid development of information environments, it may be fair to say that the perspectives of the human body have not changed at all since the industrial revolution.

In the context of these recent technological developments, greater attention is being paid to human augmentation studies. These studies aim for a new embodiment of “human-computer integration,” one which can physically and informationally compensate or augment our innate sensory functions, motor functions, and intellectual processing functions by using digital equipment and information systems at will, as if they were our hands and feet. It has also been proposed that the technical systems that enable us to freely do what we want by utilizing human augmentations be called “JIZAI” (freedomization) as opposed to “automation.”

The term “JIZAI body” used in these studies represents the new body image of humans who will utilize engineering and informatics technologies to act at will in the upcoming “super smart society” or “Society 5.0.” In these studies, human augmentation technologies are an important component of JIZAI, but JIZAI is not the same as human augmentation. JIZAI is different in scope from human augmentation, as it aims to enable humans to move freely among the five new human body images: “strengthened sense” (augmented perception), “strengthened physical body” (body augmentation), “separately-designed mind and body” (out of body transform), “shadow cloning,” and “assembling.” In the society of the future...<more>