响应机器人的当代研究趋势

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION
Dadvar, Mehdi, Habibian, Soheil
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引用次数: 3

摘要

响应机器人的多学科性质带来了一个多元化的研究社区与扩展的专业知识。本文从文献计量学的角度分析了近年来该领域的研究趋势、统计数据和文献含义。目的是研究响应机器人的全球研究进展,并确定当代趋势。为此,我们与引文网络一起调查了合作映射,以正式识别有影响力和贡献的作者、出版物、来源、机构、资助机构和国家。我们发现自然灾害和人为灾害如何促成形成富有成效的区域研究社区,而有些社区只将响应机器人视为其研究的应用。此外,通过对文献计量结果的广泛讨论,我们阐明了响应机器人研究重点转移背后的哲学,并提出了我们对未来研究方向的思考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contemporary research trends in response robotics
The multidisciplinary nature of response robotics has brought about a diversified research community with extended expertise. Motivated by the recent accelerated rate of publications in the field, this paper analyzes the research trends, statistics, and implications of the literature from bibliometric standpoints. The aim is to study the global progress of response robotics research and identify the contemporary trends. To that end, we investigated the collaboration mapping together with the citation network to formally recognize impactful and contributing authors, publications, sources, institutions, funding agencies, and countries. We found how natural and human-made disasters contributed to forming productive regional research communities, while there are communities that only view response robotics as an application of their research. Furthermore, through an extensive discussion on the bibliometric results, we elucidated the philosophy behind research priority shifts in response robotics and presented our deliberations on future research directions.
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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