Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian R?hrbein at the Technische Universit?t München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.

《神經機器人學前沿》發表了關于體現自主神經系統科學和技術的同行評審研究。理工大學的專業首席編輯阿洛伊斯·C·諾爾和Florian R_hrbein得到了國際專家優秀編輯委員會的支持。這本多學科開放獲取期刊處于向研究人員、學者和全世界公眾傳播和交流科學知識和有影響力的發現的前沿。神經系統包括受大腦啟發的算法（例如，連接主義網絡）、生物神經網絡的計算模型（例如，人工阻撓神經網絡、神經微電路的大規模模擬）和實際生物系統（例如，體內和體外神經網絡）。期刊的重點是將這種神經系統應用于人工軟硬件設備、機器、機器人或任何其他形式的物理驅動中。這還包括假肢設備、腦機接口、可穿戴系統、微型機械、家具、家用電器以及管理微觀和宏觀基礎設施的系統。神經機器人領域的前沿也旨在發布全新的工具和方法，研究能夠以開放式方式獲取知識的自主學習系統的可塑性和發展。模型與實驗研究相補充，揭示了具體神經系統的自組織原理是受歡迎的。我們的期刊還發表在由神經系統驅動的機器人裝置的微觀和宏觀工程和機電一體化，以及這些系統對我們日常生活的影響的研究上。