Animesh Garg   @animesh_garg

Machine Learning for Robotics. Assistant Professor in AI @UofTCompSci & @VectorInst. Also at @UofTRobotics & @NvidiaAI. Here via @StanfordAILab, @berkeley_ai



















 

  Tweets by Animesh Garg  

Animesh Garg    @animesh_garg    11/23/2021      

Some of you are on the CS faculty market... Did you know @UofTCompSci has not one or two, but 10+ tenure track lines in many areas including ML, AI & Systems! https://t.co/YXLDVQS6E1 📅 Apply before Dec 6, and certainly before Jan 10! Please pass it along & get in touch!
  
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Animesh Garg    @animesh_garg    11/22/2021      

If you are interested in his work or this line of work -- Imitation learning in Robotics with Real data at Scale! -- check out the following links. https://t.co/ptRm5dvJwc https://t.co/5kDL2Id6Vm https://t.co/xnalFNFN8k @StanfordHAI @StanfordSVL @StanfordAILab
  
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Animesh Garg    @animesh_garg    11/22/2021      

Future holds some very exciting directions to scale these ideas to cloud robotics
  
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Animesh Garg    @animesh_garg    11/22/2021      

Even if you have data, simple algorithms don't really work on real data from humans. IRIS: https://t.co/NWXfKtoIKu RoboMimic: https://t.co/haN4a7Jfhv along with collaborators @yukez @RobobertoMM @danfei_xu among many excellent UG and MS students along the way
  
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Animesh Garg    @animesh_garg    11/22/2021      

One core contribution of his Ph.D. is building a crowdsourcing platform for robot learning @StanfordSVL -- Roboturk: https://t.co/xnalFNFN8k
  
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Animesh Garg    @animesh_garg    11/22/2021      

Thesis defense of my mentee, and then close friend @AjayMandlekar Take home: Robot intelligence needs supervision at scale. And it's not just an algorithms problem, equally a systems problem! ⭐️-committee: @drfeifei @silviocinguetta @EmmaBrunskill @chelseabfinn @DorsaSadigh
  
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