Answers.Body: <p>I would suggest using a neural network with back propagation. From what I know, they can be applied to many different circumstances and work well. For your more simpler and repetitive tasks like moving an object, you can just use simpler regression methods.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-08-28T05:03:58.003Z
Answers.LastActivityDate: 2020-08-28T05:21:41.140Z
Answers.LastEditDate: 2020-08-28T05:21:41.140Z
Answers.UserDisplayName: Kral
Body: <p>Like making a bed, washing dishes, taking out the garbage, etc., by training it on the video of specific individuals doing those cores in their own unique environments?</p>
  <p>I have researched what machine learning is capable of doing at this point in time, and it seems this may be now feasible when done on a customer-specific basis and enable by an A.I. enhanced, full articulated, robot along the lines of an enhanced InMoov. <a href="https://en.wikipedia.org/wiki/InMoov" rel="nofollow noreferrer">https://en.wikipedia.org/wiki/InMoov</a></p>
  <p>If it's feasible, what are the AI algorithms I should be considering to train my robot to do these tasks? Isn't deep learning the most promising of these selections:  <a href="https://www.ubuntupit.com/machine-learning-algorithms-for-both-newbies-and-professionals/" rel="nofollow noreferrer">https://www.ubuntupit.com/machine-learning-algorithms-for-both-newbies-and-professionals/</a>?</p>
  
Tags: <neural-networks><robotics><state-of-the-art><humanoid-robots>
Title: Is it feasible using today's technology to use an AI training algorithm to custom teach a robot to do common household cores?
UserDisplayName: Vinmann
ThreadText: # Is it feasible using today's technology to use an AI training algorithm to custom teach a robot to do common household cores?
  
  (Asked by: username_0 on 2020-08-28)
  
  Like making a bed, washing dishes, taking out the garbage, etc., by training it on the video of specific individuals doing those cores in their own unique environments?
  
  I have researched what machine learning is capable of doing at this point in time, and it seems this may be now feasible when done on a customer-specific basis and enable by an A.I. enhanced, full articulated, robot along the lines of an enhanced InMoov. <https://en.wikipedia.org/wiki/InMoov>
  
  If it's feasible, what are the AI algorithms I should be considering to train my robot to do these tasks? Isn't deep learning the most promising of these selections: <https://www.ubuntupit.com/machine-learning-algorithms-for-both-newbies-and-professionals/>?
  
  **Tags:** neural-networks, robotics, state-of-the-art, humanoid-robots
  
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  ## 1 answers
  
  ### Answer by username_1 on 2020-08-28. Score: 1 | Accepted answer
  
  I would suggest using a neural network with back propagation. From what I know, they can be applied to many different circumstances and work well. For your more simpler and repetitive tasks like moving an object, you can just use simpler regression methods.
  
  
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