{"title":"Special Issue on Human-Robot Collaboration for Futuristic Human-Centric Smart Manufacturing","authors":"Pai Zheng","doi":"10.1115/1.4063447","DOIUrl":null,"url":null,"abstract":"This Special Issue serves as a bridge between the ASME Journal of Manufacturing Science and Engineering (JMSE) and the global community of manufacturing researchers. Its primary objective is to curate a collection of high-level scientific articles that push the boundaries of knowledge in the realm of Human-Robot Collaboration (HRC) for forward-looking, human-centric smart manufacturing. It encourages researchers to present their innovative methodologies, tools, systems, and practical case studies, fostering advancements that integrate cognitive computing, mixed reality, and advanced data analytics. By emphasizing proactive teamwork and seamless interaction, this initiative aims to narrow the gap between human operators and industrial robots. Contributions are sought in areas such as cognitive HRC systems, safety considerations, adaptive motion planning, human intention prediction, and semantic knowledge representation—key components in achieving efficient and effective collaboration within the manufacturing industry. Beyond its scientific impact, this Special Issue also seeks to unite leading scientific communities worldwide.","PeriodicalId":16299,"journal":{"name":"Journal of Manufacturing Science and Engineering-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Science and Engineering-transactions of The Asme","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063447","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
This Special Issue serves as a bridge between the ASME Journal of Manufacturing Science and Engineering (JMSE) and the global community of manufacturing researchers. Its primary objective is to curate a collection of high-level scientific articles that push the boundaries of knowledge in the realm of Human-Robot Collaboration (HRC) for forward-looking, human-centric smart manufacturing. It encourages researchers to present their innovative methodologies, tools, systems, and practical case studies, fostering advancements that integrate cognitive computing, mixed reality, and advanced data analytics. By emphasizing proactive teamwork and seamless interaction, this initiative aims to narrow the gap between human operators and industrial robots. Contributions are sought in areas such as cognitive HRC systems, safety considerations, adaptive motion planning, human intention prediction, and semantic knowledge representation—key components in achieving efficient and effective collaboration within the manufacturing industry. Beyond its scientific impact, this Special Issue also seeks to unite leading scientific communities worldwide.
期刊介绍:
Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining