In machining, it is often stated that a component cannot be fabricated unless it can be measured. This principle also applies to robotics, where a mechanism cannot be controlled to perform a desired movement unless it can be measured. Therefore, the ability to make measurements is essential for establishing a robotic or mechatronic system. For this special issue, we invite readers to submit papers or articles pertinent to the field of measurement. Possible topics include length measurement, angle measurement, intelligent metrology, optical measurement, image-based measurement, robotic sensors, sensing technology, processing technology, and AI in measurement. This list is not exhaustive, and we welcome submissions on any subject related to recent developments in the measurement field.

To transmit information from within cells or living tissues, sensors or artificial objects must be embedded inside cells or tissues, rather than on the surface of the tissue, to accurately extract the internal information. However, sensors and artificial objects embedded in living tissues or cells emit weak signals, have low signal-to-noise ratios, and lack biocompatibility to withstand long-term use. This special issue highlights the fundamental research and related technologies aimed at solving these challenges, as well as emerging trends toward future biological information transmission. It introduces technologies that contribute to building systems capable of sustaining the long-term functionality of artificial sensors embedded in living tissues and cells, thus paving the way for a society in which these systems can be realized.

Technology for recognizing contact or proximity has been a key challenge in fields, such as robotic manipulation and human-robot interactions. Unlike in vision sensors, the structure and specifications of tactile and proximity sensors have not been standardized yet. Robots have various bodies depending on their purpose and environment they operate in, and physical contact in the context of robots is closely related to the means of achieving their objectives. Therefore, sensors related to state estimation naturally exhibit diverse configurations. This special issue discusses various possibilities relevant to contact and pre-touch recognition technologies. We welcome papers proposing new principles, configurations, and output information for tactile and proximity sensors, as well as system integration, interaction control, and verification through real-world tasks for their applications.

Over the last decade, agricultural robotics and mechatronics have advanced significantly. Notable examples include the commercialization of unmanned agricultural vehicles for cereal cultivation, as well as the development of artificial intelligence (AI) applications in agricultural image analysis rooted in field science. This special issue invites new “seeds” that directly or indirectly contribute to either the quantitative or qualitative aspects of food security. These include the development of smart mechanical (non-chemical) weeding automation applicable within or beyond field boundaries, improvements in the efficiency and safety of human–robot collaborative vegetable harvesters, enhancements of season-independent, versatile, and cost-effective field sensing and digitalization technologies, and the further development of AI and data science applications for design and analysis of agriculture-related components and systems, among other critical advancements.

Because of recent technological advancements and rapid changes in social structure, hands-on approaches to Science, Technology, Engineering, and Mathematics (STEM) and STEAM (STEM + Arts) education are attracting attention. We invite papers on a variety of topics for this special issue, from reports on practical applications of robotics and mechatronics that have produced results in actual educational settings to innovative proposals that have the potential to significantly impact education in the future. We expect to find papers on a variety of topics, including the following:

• Reports about experiential learning practices
Practical examples and reports are used in the field to improve the effectiveness of student learning.

• New educational methods that foster creativity and problem-solving skills
Proposals for technology-based approaches to education, such as 3D printing, robotics, and coding.

• Integration of the arts, science, and technology
Proposals to investigate new learning opportunities through the integration of the arts, science, and technology.

• The challenges of inclusive STEM/STEAM education
Case studies and reports on inclusive educational practices for diverse learners.

• Challenges for future
Proposals for new educational models and systems that consider both traditional and future technologies such as AI, robotics, and soft robotics.

In addition to these topics, studies on traditional educational methods are welcomed. Examples include project-based learning, evaluation methods that encourage learner initiative, and educational systems that use human-computer interaction. We are excited to work with you to shape the future of STEM/STEAM education through your research and practical reports.

In recent years, mobility technologies have advanced rapidly with innovative developments, such as autonomous driving and electric vehicles becoming more integrated into society. The adoption of vehicle-to-vehicle and vehicle-to-infrastructure communication to support connected cars is accelerating. Additionally, the use of advanced driver assistance systems (ADAS) powered by artificial intelligence (AI) and machine learning is increasing. Mobility as a service is also gaining momentum, enhancing the integration of vehicle intelligence with infrastructure, and accelerating the realization of autonomous driving. Moreover, the introduction of smart infrastructure is key to achieving safe and efficient urban transportation. In this special issue, we invite a wide range of cutting-edge studies in these areas. We welcome papers on, but not limited to, the following topics: prediction and control technologies related to autonomous driving vehicles and mobile robots, connected car technologies, AI and machine learning applications in ADAS, sensor fusion technologies, smart infrastructure integration, automotive cybersecurity, and practical implementations of simulation and design using digital twin technology. Through these research contributions, we aim to advance mobility technologies and their influences in shaping the future of society.

Regular paper submission is always welcome. Submitted paper is reviewed at all times, and when it is accepted for publication, it will appear in the near issue.
一般投稿論文は常に受け付けております。随時査読を行い、採録になり次第出版日の近い号に掲載されます。

[in Japanese]
近年のロボットメカトロニクス技術の高度化複雑化に伴って，一つの研究室で完結することが難しくなりつつあります．そこで，大学等の研究機関では人と資財を集中するための組織として研究センターを設立して研究開発を進めています．本特集では，大学だけではなく企業や官公庁の研究機関の研究センターの最先端の研究成果を世界に発信する企画です．内容は研究センターの紹介のための概要１ページ（掲載料無料）とJournal paper またはDevelopment report を２～３編で構成します．なお，論文審査はこれまでの規程通りに行います．研究センター関係者のご投稿をお待ちしています．

[in English]
Recent advancements and sophistications in robotics and mechatronics technologies have created challenges for individual research groups to complete their work independently. Under these circumstances, research institutes, such as universities, have established research centers to promote advanced and sophisticated technological innovations by centralizing humans and material assets. This special issue is planned to globally expose the cutting-edge research outcomes from these research centers in universities as well as companies and governmental agencies. The contents of this special issue will consist of one-page brief introductions to these research centers (page-charge free) and of a few journal papers and development reports from each listed organization. The papers and reports submitted to this special issue will be peer-reviewed base on the regular rules of the journal. All members affiliated with such research centers are hereby cordially invited to contribute papers or reports to this special issue of the Journal of Robotics and Mechatronics. <PDF>

[in Japanese]
Journal of Robotics and Mechatronicsでは、大学の研究者による研究論文だけではなく、企業の技術者や大学・高専の学生による開発報告も募集しています。ロボティクス・メカトロニクスのシステム・技術を開発してみたが学術研究としてはまとめづらい場合であっても、自分たちの開発成果を読者に紹介したいという場合には、開発報告を書いてください。掲載されるとオンラインで無料公開され、世界中の読者に対して自分たちの成果を発信できます。英文誌ですが、英語で書くのが苦手な方でも、日本語で書いて出版社で翻訳することも可能です。開発現場での製品開発やロボット競技会での活動を通して達成した成果を、ぜひとも開発報告として投稿してください。

[in English]
The Journal of Robotics and Mechatronics (JRM) is calling for not only research papers from university researchers but also development reports from corporate engineers and university or college students. If you would like to present to our readers a system or technology you have developed in the field of robotics and mechatronics, you are encouraged to write a development report, even if you find difficulty in writing a research paper. Once published, your report will appear online free of charge and be shared with readers all over the world. JRM is an English journal, but if you are not confident in your English skills, you can write your report in Japanese and we will translate it for you. We are looking forward to receiving your development reports on, such as, product development in your company or an achievement in a robotics competition. <PDF>

[in Japanese]
近年、3Dプリンタが急速に注目を集めています。高性能化と低価格化を背景に、一般家庭でも3Dプリンタを所有できる時代になり、個人でも容易にデジタルデータからオリジナルの立体造形物を作り出すことが可能になりました。ものづくり革命の到来とも言われています。JRMでは、3Dプリンタによるものづくりの革新を特集するため、革新的な造形技術やモデリング技術、理工系教育への応用、などロボット・メカトロニクス分野への応用が期待される3Dプリンタの技術の報告を募集します。投稿者と読者の間でモデリングデータやノウハウを共有し、創造的アイデアのネットワークを形成していくことも狙いの１つです。大学や研究機関からはもちろん、企業からも、皆様の投稿をお待ちしております。

[in English]
The high performance and low price of 3D printers have made them available to ordinary homes and individuals. Nowadays original 3D objects can be easily produced by individuals using 3D printers. To focus on the innovation of manufacturing using 3D printers, we are calling for technical reports introducing 3D printer technologies applied to robotics and mechatronics fields. Examples include innovative shaping and modeling technology, scientific and technological education, and so on. One of our aims is to form a creative network among authors and readers through the sharing of modeling data and technical knowledge. Submissions are welcome from both academic institutions such as universities and laboratories and from commercial and other enterprises.
Details are given in the PDF.