This Research Topic is part of the Frontiers in Neurorobotics Insights series. Other titles in the series are:
Insights in Neurorobotics: 2021

As we embark on the third decade of the 21st century, the remarkable achievements of scientists have propelled the field of Neurorobotics to new heights. With a focus on the latest advancements in science, Frontiers has organized a series of Research Topics to remain at the forefront of scientific research across different disciplines. Spearheading this editorial initiative is Dr. Alois C Knoll, Specialty Chief Editor of Frontiers in Neurorobotics, whose unwavering commitment to the field is evident in the comprehensive scope of the initiative.

The Research Topic invites Neurorobotic professionals and scholars to provide brief, forward-looking contributions that provide a detailed overview of the state-of-the-art in Neurorobotics. The articles are expected to outline recent developments and major accomplishments that have been achieved, as well as identify the key advancements required to propel the field forward. Authors are encouraged to address the most pressing challenges in the sub-disciplines of Neurorobotics and provide potential solutions to overcome these challenges.

The primary objective of this special edition Research Topic is to illuminate the significant strides made in the Neurorobotics field over the past decade while also highlighting the challenges that lie ahead. This collection of articles aims to inspire, inform, and provide direction and guidance to researchers in the field. The comprehensive overview of the current state-of-the-art in Neurorobotics will be of immense value in the field, offering them a roadmap for future research and development.

We welcome submissions covering the following themes, but are not limited to:

- Neural control of robots: Investigating how to design control algorithms for robots based on principles of the nervous system.
- Brain-machine interfaces: Researching how to use brain activity to control robots or other devices to help individuals with disabilities regain movement capabilities.
- Neural plasticity: Studying how to use principles of neural plasticity to design robot control algorithms that enable self-adaptive and learning abilities.
- Perception and cognition in robots: Exploring how to design perception and cognition systems for robots based on knowledge from neuroscience and cognitive science to achieve more intelligent robots.
- Evolutionary robotics: Investigating how to design robot structures and control algorithms using evolutionary algorithms to achieve more efficient robots.
- Applications of neurorobotics: Researching how to apply the theory and methods of neurorobotics to real-world problems such as rescue, medical care, and environmental monitoring.
- Ethical and societal issues of neurorobotics: Studying the impact of the development of neurorobotics on society and ethics, as well as how to regulate the development and use

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