Neuro-robotics is the creation and development of intelligent robots that can imitate or duplicate the capabilities of the human brain and nervous system using information and techniques from the neuroscience field.

This study area makes use of this information to create neuro-robots that are capable of carrying out comparable activities on their own.

Robotic applications of neuroscience include:

Developing mathematical models and algorithms that imitate many aspects of the brain, including learning, perception, and motor control.

Designing and building robots that employ elements modeled after the nervous system, such as artificial neural networks, to carry out complicated tasks and adapt to their surroundings is known as neurorobotics.

Brain-computer interfaces (BCI): The creation of tools and technology that allow for direct brain-to-robot or artificial intelligence-to-intelligence connection.

Robotic devices are being developed to assist patients with motor or sensory impairments in regaining lost functions or to replace amputated limbs with cutting-edge robotic prostheses.

Systems designed using biologically inspired ideas and mechanisms, such as synaptic plasticity or the hierarchical organization of brain regions, include robots and artificial 

Robotic thought

The idea of cognitive computing, which should not be confused with artificial intelligence and tries to develop algorithms that resemble human reasoning, is built on algorithms to solve problems or find patterns in massive datasets.

Cognitive Robotics, which seeks to comprehend human cognitive processes to replicate them in robots, is the consequence of applying this technology to automata. It looks for novel architectural and methodological approaches to enhance the 'perception-comprehension-action' cycle of artificial autonomous systems and to facilitate easier and more natural interactions between people and machines.

Traditional robot designs are different from cognitive robot designs in that cognitive robots can adapt their behavior autonomously to changing circumstances and make proactive judgmentsUsually, they are programmed with clear instructions that tell them what to do.

human contact

The study of human-robot interaction (HRI) must take into account human interaction. The study of robotic systems intended for human use or usage in conjunction with humans is known as human-robot interaction (HRI).

Brain-computer interfacing BCI

The implanted Neuralink device, developed by Elon Musk's firm of the same name, can read the electrical impulses of the neurons in our brains and is the most well-known example of a BCI.

According to Neuralink, the chips may be utilized to cure a range of illnesses, including Parkinson's disease, paralysis, and other neurological ailments, and to increase everyday independence.

There are also other businesses working to create brain-computer connections; Synchron, for instance, has implanted its version of a neural chip into the brains of some individuals.

This kind of device enabled four ALS patients participating in a short study in Australia to conduct online tasks on their own.

The non-invasive EEG headgear created by Next Mindprovides real-time digital instructions that may be utilized to engage with virtual reality by detecting brain activity in the visual cortex.

Rehabilitation with robots

People can recover from illnesses, accidents, or brain injuries thanks to cutting-edge neurotechnologies that combine robotic engineering and neurology.

To assist patients with regaining motor skills, these technologies make use of the brain's capacity for self-adaptation and reorganization (brain plasticity).

The usage of exoskeletons, robots for arm and hand rehabilitation, and transcranial direct current electrical stimulation (tDCS) are a few of the most often employed robotic rehabilitation technologies.