Frontiers in Neurorobotics is a multidisciplinary journal focusing on the convergence of neuroscience and robotics, advancing our understanding of the brain through the creation of embodied, intelligent systems. The journal explores how neuroscientific principles can inform the design of robots and how robots can serve as models for testing theories about the brain, pushing the boundaries of both fields. By studying robots we may be able to learn more about neuroscience.
The journal covers a wide range of topics, including but not limited to: robot control, brain-machine interfaces, robot design, and computational neuroscience. It features original research articles, reviews, and perspectives that bridge the gap between theoretical and experimental research. The target audience includes neuroscientists, roboticists, computer scientists, and engineers interested in advancing the development of neurorobotic systems. Frontiers in Neurorobotics is indexed in databases such as Scopus and Google Scholar, ensuring broad visibility and accessibility.
Frontiers in Neurorobotics encourages submissions that present novel approaches and innovative solutions to complex challenges in neurorobotics. It promotes interdisciplinary collaboration and knowledge sharing, contributing to the development of more intelligent and adaptive robotic systems. Researchers are invited to submit their work and contribute to this rapidly evolving field.