{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:24:53Z","timestamp":1760232293431,"version":"build-2065373602"},"reference-count":67,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,10,28]],"date-time":"2022-10-28T00:00:00Z","timestamp":1666915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"K. C. Wong Magna Fund at Ningbo University","award":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"],"award-info":[{"award-number":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"]}]},{"name":"Zhejiang Provincial Philosophy and Social Science Planning Project","award":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"],"award-info":[{"award-number":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"]}]},{"name":"Zhejiang Province Educational Science Planning Project","award":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"],"award-info":[{"award-number":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"]}]},{"name":"Ministry of Science and Technology, Taiwan","award":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"],"award-info":[{"award-number":["RC190015","RC202220","23NDJC349YB","Y202146358","MOST 111-2410-H-019-006-MY3","MOST 111-2622-H-019-001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Over the past decade, neurorobotics-integrated machine learning has emerged as a new methodology to investigate and address related problems. The combined use of machine learning and neurorobotics allows us to solve problems and find explanatory models that would not be possible with traditional techniques, which are basic within the principles of symmetry. Hence, neuro-robotics has become a new research field. Accordingly, this study aimed to classify existing publications on neurorobotics via content analysis and knowledge mapping. The study also aimed to effectively understand the development trend of neurorobotics-integrated machine learning. Based on data collected from the Web of Science, 46 references were obtained, and bibliometric data from 2013 to 2021 were analyzed to identify the most productive countries, universities, authors, journals, and prolific publications in neurorobotics. CiteSpace was used to visualize the analysis based on co-citations, bibliographic coupling, and co-occurrence. The study also used keyword network analysis to discuss the current status of research in this field and determine the primary core topic network based on cluster analysis. Through the compilation and content analysis of specific bibliometric analyses, this study provides a specific explanation for the knowledge structure of the relevant subject area. Finally, the implications and future research context are discussed as references for future research.<\/jats:p>","DOI":"10.3390\/sym14112264","type":"journal-article","created":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T10:47:57Z","timestamp":1667126877000},"page":"2264","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Recent Synergies of Machine Learning and Neurorobotics: A Bibliometric and Visualized Analysis"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7728-2008","authenticated-orcid":false,"given":"Chien-Liang","family":"Lin","sequence":"first","affiliation":[{"name":"College of Science and Technology, Ningbo University, Cixi 315211, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Hui","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Science and Technology, Ningbo University, Cixi 315211, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wang-Hui","family":"Cai","sequence":"additional","affiliation":[{"name":"College of Science and Technology, Ningbo University, Cixi 315211, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1531-3363","authenticated-orcid":false,"given":"Yu-Sheng","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung 202, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1007\/BF00201431","article-title":"A computational model of four regions of the cerebellum based on feedback-error learning","volume":"68","author":"Kawato","year":"1992","journal-title":"Biol. 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