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How ISRO and NASA are using AI for Space Exploration

Introduction

AI is such a wonder made by humans that there is no technical domain left that doesn’t need AI or machine learning algorithms and when we talk about space examination, we have been using machine learning algorithms for navigating purposes, routing the safest route for the spacecraft using intelligence and more. The amount of data space agencies are getting with the help of AI is beyond imagination. Let us discuss the extent of help provided by artificial intelligence to the space industry.


How the Indian Space Research Organization (ISRO) is Using AI?

Being proved to be one of the most elite space organization, ISRO is also nourishing their space missions with Artificial Intelligence, Prominent work in research on AI in observational purpose, satellite navigation, meteorology, and space assistant started from November 2018, A synopsis was published by ISRO to the universities regarding research

 

GSLV Spacecraft of Indian Space Research Organization

Indian Space Research Organisation (ISRO)

 

 

Vikram Sarabhai Space Centre (VSSC) developed a deep-learning model using an artificial neural network (ANN), this model introduced a health monitoring system using the classification of strain pattern. ANN also helped the space industry in the detection of other anomalies like a failure in Fibre, cracking of matrix, and many more.

ISRO’s office of the capacity building program introduced Respond Basket in order to research on 13 fields regarding machine learning and artificial intelligence. The main reason for introducing these many fields of AI/ML to the research area was to optimize the ANFI’s controller to control the Cryogenic High Altitude Test.

 

AI-enabled Humanoid developed by ISRO

 Vymomitra - Isro's AI-Bot

 

Above is the picture of ISRO’s AI-bot which is named Vyomitra - a Sanskrit name for “space friend”, This humanoid is to lead the Gaganyan mission and it will provide assistance for the life support system and environment control as per reports.


Research on Artificial Intelligence by NASA

NASA is a space giant and the whole world looks up to them for space exploration and answers to the most complicated questions, therefore, they are highly powered by AI/ML for the operation of space missions. They are developing highly advanced telescopes, namely, James Webb Space Telescopes to collect a huge amount of data from outer space in order to take help from AI in space investigation.

 

James Webb Space Telescopes

James Webb Space Telescopes

 

Space giant NASA with collaboration with tech giants like GOOGLE, INTEL, and IBM is focussing on the development of advanced machine learning algorithms, Also, NASA conducts an 8-week long program called frontier development lab for space innovators.

 

Frontier development lab

Frontier Development Lab logo

 

 

This FDL team in 20018 under the leadership of Domagal-Goldman and Arney developed the machine learning model that could identify exoplanets on the basis of the wavelength of the light emitted in their atmosphere.


Space Assistant For Spacecraft

We know about google Alexa and amazon echo, aren’t they provide phenomenal assistance? Likewise, in space, space agencies like NASA, ISRO, ESA, and more we are using an intelligent system to provide assistant to astronauts or the crew member on the ground.

 

Space Assistant Developed by SpaceX

Artificial Intelligence For Space Detection in Space

 

One of the features of machine learning is speech recognition, and that’s what helps space agencies in space, they give real-time assistant regarding technical errors on spacecraft, also, with proper training, the model is very much capable of giving the real-time distance and time needed to complete the certain mission.

 

Object-Detection In Space

 

Artificial Intelligence For meteor detection in Space

Artificial Intelligence For object detection in Space

 

The modern AI is able to detect any object with the help of training over the relevant dataset, therefore, in space, machine learning is able to foresee the meteor and other celestial objects just with the help of training the model. Imagine, now we have been so accurate in determining the coming meteor which is helping us to get alert days before that meteor follows that trajectory. 

 

tanesh

Founder Of Aipoint, A very creative machine learning researcher that loves playing with the data.