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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Jean-Baptiste Mouret‏ @jb_mouret 25 Jul 2019
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      I am reviewing some CoRL (Conf. on Robot learning) and Humanoids papers (6 papers total). None of them are reporting tests with a real robot (only simulation) => When did the robotics community stop caring about actual robots? these papers should be submitted to SIGGRAPH!

      14 replies 35 retweets 177 likes
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    2. Prof. Anima Anandkumar‏ @AnimaAnandkumar 25 Jul 2019
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      Replying to @jb_mouret

      I disagree. There are now realistic large scale simulation tools that enable us to experiment in a completely different way compared to getting measurements with a real robot. algorithmic questions on how to design robust sample-efficient interactive learning is best studied here

      4 replies 1 retweet 29 likes
    3. Prof. Anima Anandkumar‏ @AnimaAnandkumar 25 Jul 2019
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      Replying to @AnimaAnandkumar @jb_mouret

      Siggraph would be a terrible fit for such papers. The emphasis there is on visual appeal not on learning algorithms or physically valid simulations. Robotics community needs to treat simulations as a core topic

      1 reply 0 retweets 1 like
    4. Jean-Baptiste Mouret‏ @jb_mouret 25 Jul 2019
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      Replying to @AnimaAnandkumar

      I would love to have more papers about better simulations of robots, especially if there is some data to compare them to the reality!

      1 reply 0 retweets 1 like
    5. Prof. Anima Anandkumar‏ @AnimaAnandkumar 25 Jul 2019
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      Replying to @jb_mouret

      It has been shown that for many grasping tasks simulations have gotten very realistic. Dynamics is harder and we will probably never get it completely right.

      1 reply 0 retweets 1 like
    6. Jean-Baptiste Mouret‏ @jb_mouret 25 Jul 2019
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      Replying to @AnimaAnandkumar

      Yes, simulating a position-controlled arm is working well, but even in this case there is often a reality gap (ask @sim2realAIorg !) because of the context models. Things are harder in torque control and harder for dynamics like (walking).

      1 reply 0 retweets 3 likes
    7. Prof. Anima Anandkumar‏ @AnimaAnandkumar 25 Jul 2019
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      Replying to @jb_mouret @sim2realAIorg

      I agree sim2real will be present but robotics research is much more than that. Sample efficient reinforcement learning, unsupervised learning, safety and stability issues are all important. They should be encouraged to thrive in same community

      1 reply 1 retweet 2 likes
    8. Prof. Anima Anandkumar‏ @AnimaAnandkumar 25 Jul 2019
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      Replying to @AnimaAnandkumar @jb_mouret @sim2realAIorg

      conference is robot learning. Learning should be treated as a first class citizen if we want the field to move forward. They should be encouraged to come and participate in this community. By limiting to physical robot deployments many researchers are unfairly shut out.

      1 reply 1 retweet 1 like
    9. Jean-Baptiste Mouret‏ @jb_mouret 25 Jul 2019
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      Replying to @AnimaAnandkumar @sim2realAIorg

      I do not think anyone want to strictly limit to physical robot deployment, but robotics should not be a second class citizen either!

      1 reply 0 retweets 2 likes
      Prof. Anima Anandkumar‏ @AnimaAnandkumar 26 Jul 2019
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      Replying to @jb_mouret @sim2realAIorg

      That's plainly ridiculous. When we are all working towards solving problems in robotics how can that be second class? Obsession with a physical robot doesn't serve the field well

      12:05 AM - 26 Jul 2019
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      • Swarat Chaudhuri Martim Brandão Danilo J. Rezende Forest 😷 megamindAI
      0 replies 1 retweet 4 likes

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