Prof. Anima Anandkumar on Twitter: "My first #ICRA2019 paper! Really excited to use of #DeepLearning to improve drone landing, but still retaining stability guarantees. Main essence: use #DeepLearning to model complex phenomena like aerodynamics, but use control theoretic frameworks to guarantee stability… https://t.co/Dqwtris3fG"

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‏ @AnimaAnandkumar

My first #ICRA2019 paper! Really excited to use of #DeepLearning to improve drone landing, but still retaining stability guarantees. Main essence: use #DeepLearning to model complex phenomena like aerodynamics, but use control theoretic frameworks to guarantee stabilityhttps://twitter.com/yisongyue/status/1089054799037747200 …

Yisong Yue @yisongyue

Accepted to #ICRA2019! One of the first instances of provably robust deep learning based controllers! We show Lyapunov stability while using a 4-layer deep neural net as part of the controller design. Experiments on a real robotic platform too. https://twitter.com/yisongyue/status/1065079358996410368 …

10:00 AM - 26 Jan 2019

35 Retweets
256 Likes

8 replies 35 retweets 256 likes

1. Girish‏ @bookwormengr 26 Jan 2019
  
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  Nice!
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1. Mario Souto‏ @mariohsouto 26 Jan 2019
  
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  It's really nice to see Control Theory being used along machine learning techniques! Congratulations!
  
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1. Mats Hagberg Olsson‏ @precision_mats 26 Jan 2019
  
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  Big congrats!
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1. maggie_albrecht‏ @maggie_albrecht 26 Jan 2019
  
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  Congrats!
  
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1. ozgurorman‏ @ozgurorman 26 Jan 2019
  
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  Congrats! Does the system has how many percentages tolerance on driving values, and is it bullet proof againist to the adverserial attacks?
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1. Enikő Biró‏ @EnikoBiro 26 Jan 2019
  
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  Congrats!
  
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1. leodrives‏ @leodrives 26 Jan 2019
  
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  Replying to @AnimaAnandkumar @theChrisChua
  
  This is pretty sweet, although being bullet proof against adversarial attacks might be a bit over optimistic. There is always a way... But I am starting to envision some ways to use this tech.
  
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