Neurorobotics is a new transdisciplinary research field that combines the fields of robotics, artificial intelligence, and neurology.
Neurorobotics is the design and manufacture of robot bodies that mimic the structure and function of the nervous system while incorporating an embedded brain and embedded control systems.
Neurorobots can be categorised into a number of major groups depending on their intended function. Research on motor control, memory, action selection, and perception regularly make use of neurorobots.
• Locomotion and motor control
• Learning and memory systems
• Action selection and value systems
• Sensory perception
Neurorobotics helps neuroscientists test numerous hypotheses about how the brain functions since it gives them a clean slate to do so in a regulated setting. Robots are more specialised and allow for more direct examination of the problem at hand, despite being simplified copies of the systems they replicate.
Furthermore, they have the advantage of always being visible, whereas it is more challenging to observe a significant amount of an animal's brain when it is moving, especially individual neurons.
The development of neuroscience has led to new neurological therapies. Pharmaceuticals and neurological rehabilitation fall within this category. Understanding the complicated workings of the brain is necessary for progress. Due to the risk involved with cranial procedures, studying the brain is challenging, especially in humans. The kind of testing and investigations that can be run to better understand neurological processes are made possible by neurorobots.
The following characteristics describe a neurorobot:
• It performs a behavioural action.
• It is located in a real-world setting.
• It is capable of recognising environmental stimuli and responding to them.
• Its behaviour is managed by a synthetic neurological system whose architecture and dynamics, to some extent, correspond to those of the brain.
Market Analysis: The neurorobotics market is set for exceptional growth from 2025 to 2030, with forecasts of up to a 47.90% CAGR, driven by rising demand for neurorehabilitation devices amid an aging population and increasing neurological disorders. Key segments like robotic exoskeletons and brain-computer interfaces, along with AI and virtual reality integration, are fueling this surge, supporting early, accurate diagnosis and treatment of conditions such as stroke and Parkinson’s disease.