雜志介紹

Journal Of Field Robotics雜志介紹

《Journal Of Field Robotics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱現(xiàn)場機器人雜志，本刊主要出版、報道計算機科學(xué)-ROBOTICS領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為4.2，最新CiteScore 指數(shù)為15。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Expected position and attitude adjustment control method of coal mine roadway support robot

  Author: Chen, Hongyue; Chen, Hongyan; Ma, Ying; Xu, Yajun; Zhang, Desheng

• Development, integration, and field evaluation of an autonomous citrus-harvesting robot

  Author: Yin, Hesheng; Sun, Qixin; Ren, Xu; Guo, Junlong; Yang, Yunlong; Wei, Yujia; Huang, Bo; Chai, Xiujuan; Zhong, Ming

• Actuator fault detection for masonry robot manipulator arm with the interval observer

  Author: Zhao, Jinbao; Zhang, Ke; Hou, Maxiao; Zhang, Hao; Bai, Yunfei; Huang, Yanzheng; Li, Jianan

• Design and analysis of a wall-climbing robot for passive adaptive movement on variable-curvature metal facades

  Author: Jiang, Ze; Ma, Zhe; Ju, Zhongjin; Wang, Dianzheng; Xu, Yundou

英文介紹

Journal Of Field Robotics雜志英文介紹

The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. Articles describing robotics research with applications to the environment, construction, forestry, agriculture, mining, subsea, intelligent highways, search and rescue, military, and space (orbital and planetary) are encouraged. Papers in sensing, sensors, mechanical design, computing architectures, communication, planning, learning, and control, applied to field applications are encouraged.

The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance. Authors will be encouraged to implement their work and demonstrate its utility on significant problems with emphasis on the underlying principles. That is, the Journal will encourage reporting on what was learned in doing the work, rather than merely on what was done. Also encouraged are comparative or meta-studies and verification of previously published results as well as reports of extended field experiments that seek to validate autonomous systems in representative environments. Systems papers will be welcome but they must include analysis and insight into why approaches work and the challenges still to be addressed. Studies of systems that have been fielded over extended durations are encouraged. The journal will publish only articles of high quality rather than achieving a particular number of papers or a ratio of accepted papers to those submitted.