Artificial Intelligence in Robots - A Replica of Human Intelligence - Market Research & Behaviour analytics

Artificial Intelligence in Robots – A Replica of Human Intelligence

ByHimanshu Vashishtha

Artificial Intelligence in Robots – A Replica of Human Intelligence

Over the years, researchers and scientists have left no stone unturned to create robots as clones of humans. While they may have succeeded in leaps and bounds on the aspect of physical capabilities, the central control mechanism or intelligence of robots remain inferior to human intelligence.
Humans adapt to situations and their environment and make decisions accordingly; whereas, the reactions and actions of robots are dictated by pre-programmed data and codes.

Development of Neurorobotics

With the increasing application of robots in various industries across the world, the need to replicate human intelligence in robots was the need of the hour. They have technical drawbacks –

  • Lack flexible movement
  • Limited intelligence and control over it
  • Cannot have natural interactions with humans

Limitations such as these affect service robots more. Thus arose the need for making robot intelligence as close to human intelligence as possible, as in mimicking the strategies of the human brain to make decisions in everyday life and routine.

Neurorobotics combines neuroscience, artificial intelligence and robotics, and biologically inspired theories are tested in controlled environments. While artificial intelligence helps to replicate intelligence with artificial means, neuroscience is all about investigating and understanding intelligence and related biological systems.

The need for brain-inspired intelligence in robots

Robots are better at certain aspects when compared to humans – computation speed, computation accuracy, memory access accuracy and capacity, etc., whereas, humans trump in certain areas – flexibility, learning capabilities, adaptability etc. By combining the traits of both via artificial intelligence, the resultant artificial brain could surpass both in performance and capabilities.

Ideally the human brain inspired robots should be capable of the following –

  • Determine complex environments based on sensor data
  • Synergise control
  • Process and integrate information from multi-sensors
  • Implement continuous learning actively and interactively
  • Understand emotions and interact with humans

Although there is no definite paradigm for developing these robots currently, the multi-fold advances in neuroscience and artificial intelligence, in addition to mathematics, devices and semiconductors have helped in accelerating the progress.

How does neuroscience help?

The advances in the field of neuroscience have enabled vast collection of data over the years. The rapidly developing field has helped in achieving a better understanding of the functioning of the human brain. And this understanding of human brain activity is translated into codes for the brains of robots and their functioning.

Scientists now have more insights and a deeper understanding of the human brain. For example, the human brain has a meta-controller, which decides how the brain switches between different activities to execute complex tasks. Another example, a significant one, is that of the pain system in humans. By replicating the brain’s code for this, a robot’s performance can be enhanced in terms of efficiency, flexibility and safety.

In the distant future, the relevance of engineering a robot’s brain as close to human brain as possible cannot be ignored. Robots are being introduced in many walks of human life. If they become active members of society at some point, it would be easier to accept and cooperate with them if they do indeed function like humans.

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Himanshu Vashishtha administrator

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