Explain in detail the Sensor of Sophia Robot, How it perceives the environment and what are
its actuators. What are the algorithms which are used for making decision by Sophia Robot?
Answers
Sophia is a social humanoid robot developed by Hong Kong-based company Hanson Robotics.[1] Sophia was activated on February 14, 2016,[2] and made her first public appearance at South by Southwest Festival (SXSW) in mid-March 2016 in Austin, Texas, United States.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.This string then travels into a algorithm which gets a suitable answer for it.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.This string then travels into a algorithm which gets a suitable answer for it.The answer is then spoken by the speech synthesizer along with some face actions.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.This string then travels into a algorithm which gets a suitable answer for it.The answer is then spoken by the speech synthesizer along with some face actions.It might also have a sentiment analyser which identifies sentiments in a answer to show face expressions accordingly.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.This string then travels into a algorithm which gets a suitable answer for it.The answer is then spoken by the speech synthesizer along with some face actions.It might also have a sentiment analyser which identifies sentiments in a answer to show face expressions accordingly.Along with this, it identifies the emotions on the face of the person sitting in front of it, so as to provide a greater expression.
Sophia ,first , has all the questions and corresponding answers preprogrammed. It is a system which is a hybrid of Bayes Text classification and decision trees.It may consist of a speak recognizer which converts the question into a string.This string then travels into a algorithm which gets a suitable answer for it.The answer is then spoken by the speech synthesizer along with some face actions.It might also have a sentiment analyser which identifies sentiments in a answer to show face expressions accordingly.Along with this, it identifies the emotions on the face of the person sitting in front of it, so as to provide a greater expression.Hence, Sophia understands or thinks nothing like the human brain. It is just a system which gives predefined answers corresponding to the question asked.