Kartik Garg (@_pacificax) - Twitter Profili | Zamantika Mersobahis Locabet

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Kartik Garg@_pacificax·8 Eyl

Excited to show the results of our latest work at #CoRL2025!

Can robots learn to jump, crawl, and climb—without reward engineering, curriculum learning, or reference data? In our #CoRL2025 paper SDAX, Skill Discovery as eXploration, we show how unsupervised RL can learn these challenging motor skills without human priors —and transfer them to real robots. 📷 Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion Seungeun Rho* @ross_rho , Kartik Garg* @_pacificax, Morgan Byrd, Sehoon Ha @sehoonha seungeunrho.github.io/projects/SDAX/

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Kartik Garg@_pacificax·25 Oca

@KyleMorgenstein Same tbh

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Kyle🤖🚀🦭@KyleMorgenstein·25 Oca

I really enjoy coding

roon@tszzl

programming always sucked. it was a requisite pain for ~everyone who wanted to manipulate computers into doing useful things and im glad it’s over. it’s amazing how quickly I’ve moved on and don’t miss even slightly. im resentful that computers didn’t always work this way

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Kartik Garg@_pacificax·15 Oca

@chris_j_paxton 2M in India goes a long way tho

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Chris Paxton@chris_j_paxton·15 Oca

In a world of 100m raises these guys only get 2 to build space robot docking

Runtime@RuntimeBRT

🚨 BREAKING: Bengaluru-based @AuleSpace has raised a $2M pre-seed to develop satellite-agnostic docking tech.

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Kartik Garg@_pacificax·26 Kas

@ChongZitaZhang I have seen RL on hands generally end up giving you the finger… a lot

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C. Zhang@ChongZitaZhang·25 Kas

Aaron Wetzler@aaronwetzler

Combining two wonderful open source projects for fun as a side project. "SO-100" + "Amazing Hands" = SO-Hands Attn @LeRobotHF 😀

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Kartik Garg@_pacificax·21 Ağu

@chris_j_paxton You should go on more airplanes then 🤭

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Chris Paxton@chris_j_paxton·20 Ağu

I get on a like one airplane and Boston Dynamics and Figure both post amazing robotics videos

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Kartik Garg@_pacificax·1 Tem

@ChongZitaZhang Congratulations 🥳

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C. Zhang@ChongZitaZhang·1 Tem

PhD officially started

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Eric Jang@ericjang11·11 Haz

Here’s our latest RL update: Natural Mogging (thread below!)

1X@1x_tech

Redwood AI | Mobility Reinforcement Learning

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Kartik Garg@_pacificax·10 Haz

@vyash2k +1 to that 🫠

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Yash@vyash2k·10 Haz

Random craving for falooda and badam shake from Banarasi roadside trucks

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1X@1x_tech·10 Haz

Redwood NEO’s AI

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Shubodh Sai 🤖@shubodhs_ai·2 Eki

Happy to see interest for our paper! Those at #ECCV2024 @eccvconf, revisit #RevisitAnything at board no 244 tomorrow (3rd Oct) from 10:30 am - 12:30 pm. ✨ Looking for PhD opportunities, request hiring professors to drop by! 🙏 On left as soon as you climb down stairs. ⬅️

Shubodh Sai 🤖@shubodhs_ai

Places are composed of things. Recognizing & retrieving these things instead of the whole image enables 🧭viewpoint invariance 🖼️semantic interpretability 🔮open-set recognition 🧵on our #ECCV2024 paper: Revisit Anything: Visual Place Recognition via Image Segment Retrieval 👇

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Kartik Garg@_pacificax·30 Eyl

@WangxsNB @eccvconf @shubodhs_ai @shishirny @sourav_garg_ Thanks a lot!

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Axis Wang@WangxsNB·29 Eyl

@_pacificax @eccvconf @shubodhs_ai @shishirny @sourav_garg_ Congratulations, Kartik! This is such an incredible achievement! Thrilled to see your hard work pay off.

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Kartik Garg@_pacificax·28 Eyl

Happy to share our new #VPR work that has been accepted to #ECCV2024 @eccvconf! Thanks to my amazing collaborators @shubodhs_ai @shishirny Madhav Krishna and @sourav_garg_ (P.S. Also my first publication in a top tier conference 😊)

Shubodh Sai 🤖@shubodhs_ai

Places are composed of things. Recognizing & retrieving these things instead of the whole image enables 🧭viewpoint invariance 🖼️semantic interpretability 🔮open-set recognition 🧵on our #ECCV2024 paper: Revisit Anything: Visual Place Recognition via Image Segment Retrieval 👇

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Kartik Garg@_pacificax·28 Eyl

@vyash2k @eccvconf @shubodhs_ai @shishirny @sourav_garg_ Thank you!

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Yash@vyash2k·28 Eyl

@_pacificax @eccvconf @shubodhs_ai @shishirny @sourav_garg_ Congratulations!

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Kartik Garg retweetledi

Sourav Garg@sourav_garg_·28 Eyl

Here’s our new #VPR take on the good old ‘revisiting problem’ in #SLAM / #localization #ECCV2024 @eccvconf Incredible effort by @shubodhs_ai and @_pacificax Catch @shubodhs_ai in person at the venue ILR Workshop: 30 Sep, 10-11am CEST Main Conf: 3 Oct, 10:30am-12:30pm CEST

Shubodh Sai 🤖@shubodhs_ai

Places are composed of things. Recognizing & retrieving these things instead of the whole image enables 🧭viewpoint invariance 🖼️semantic interpretability 🔮open-set recognition 🧵on our #ECCV2024 paper: Revisit Anything: Visual Place Recognition via Image Segment Retrieval 👇

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Zhenjun Zhao@zhenjun_zhao·27 Eyl

Revisit Anything: Visual Place Recognition via Image Segment Retrieval Kartik Garg, Sai Shubodh Puligilla, Shishir Kolathaya, Madhava Krishna, @sourav_garg_ tl;dr: encoding and searching for image segments instead of the whole images arxiv.org/pdf/2409.18049

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Kartik Garg@_pacificax·4 May

@vyash2k Same happened with me. The only difference was I wrote the code … a couple of months ago

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Yash@vyash2k·4 May

Exactly how one of my projects was like. In grad school.

˗ˏˋmewtru´ˎ˗@trunarla

Being on call at a big tech company is just continuously asking around for who owns the code that's failing and then finding out the person who wrote it actually quit 2 years ago and didn't tell anyone else how it works.

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Kartik Garg@_pacificax·4 Nis

@vyash2k @MuadDeep22 Haan you guys got podium i think and my team missed on tiebreaker 🫠

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Yash@vyash2k·4 Nis

@_pacificax @MuadDeep22 Correct, I remember fucking up the date haha

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Yash@vyash2k·4 Nis

Craving for 4700BC Himalayan salt caramel popcorn rn (it's 2:01am)

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Kartik Garg@_pacificax·4 Nis

@MuadDeep22 @vyash2k It was inter iit iirc.

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Deepro Nath@MuadDeep22·4 Nis

@vyash2k Made me remember a quiz, not sure if I was in a team with you (maybe it was @_pacificax ). Had a question on this brand and we couldn't remember the exact date for the life of us

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Kartik Garg@_pacificax·27 Haz

@pcastr Robin Murphy

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Pablo Samuel Castro@pcastr·26 Haz

What are some notable women who became famous as AI researchers before 2012? It's ok if they're still active researchers, as long as they rose to "fame" before 2012.

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Kartik Garg

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