中文简介

《野战机器人学杂志》致力于促进学术出版物的出版，这些出版物涉及非结构化和动态环境中机器人学的基础知识。鼓励介绍机器人研究及其在环境、建筑、林业、农业、采矿、海底、智能公路、搜索和救援、军事和空间（轨道和行星）中的应用。鼓励在传感、传感器、机械设计、计算体系结构、通信、规划、学习和控制等领域发表应用于现场应用的论文。该杂志关注实验机器人技术，并鼓励出版既有理论意义又有实际意义的著作。鼓励作者实施他们的工作，并在重大问题上展示其效用，强调基本原则。也就是说，期刊鼓励报道在工作中所学到的东西，而不仅仅是报道所做的事情。此外，还鼓励进行比较或元研究，验证先前公布的结果，以及寻求在代表性环境中验证自主系统的扩展现场实验报告。系统文件是受欢迎的，但它们必须包括分析和洞察方法为什么有效以及有待解决的挑战。鼓励对已部署的系统进行长期研究。该杂志将只出版高质量的文章，而不是达到特定数量的论文或接受的论文与提交的论文的比例。JFR不会发表实验验证仅限于模拟或控制实验室实验的文章。

投稿网址：https://mc.manuscriptcentral.com/rob

英文简介

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 are encouraged to implement their work and demonstrate its utility on significant problems with emphasis on the underlying principles. That is, the journal encourages 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 are 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. JFR will not publish articles in which the experimental validation is restricted to simulation or controlled laboratory experiments.