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Reposted by Animesh Garg

Katherine Liu @katherineliu.bsky.social · 01/08/2025

We’re really excited about the speakers we have lined up, including Animesh Garg (Georgia Tech) @animesh-garg.bsky.social , Daniel Ho (1X Technologies), Hao Su (UCSD), Katerina Fragkiadki (CMU), Yilun Du (Harvard) @yilundu.bsky.social, and Russ Tedrake (TRI + MIT).

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Reposted by Animesh Garg

Katherine Liu @katherineliu.bsky.social · 01/08/2025

🚀 We’re pleased to announce our workshop at CoRL 2025: Learning to Simulate Robot Worlds! Workshop website: simulatingrobotworlds.github.io The workshop aims to cover topics like physics-grounded simulation, photorealistic digital twins, AI-controlled simulators, to learned neural world models.

simulatingrobotworlds.github.io

Learning to Simulate Robot Worlds

Join the Learning to Simulate Robot Worlds workshop.

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Animesh Garg @animesh-garg.bsky.social · 25/07/2025

Imitation learning frameworks are often with 2D inputs. but 2D limits generalization even to camera poses. This has been an ongoing challenge, especially for humanoids since the camera pose is not steady and need not match the training data. We build Adapt3R to solve this problem! Read on for more

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Animesh Garg @animesh-garg.bsky.social · 25/07/2025

Unitree R1 is a new $6K humanoid with a onboard LLM/VLM! The price & complexity is not a barrier for ML folks to enter robot learning. Stable, low-cost developer platforms will accelerate humanoid development with new ideas coming from everywhere. Unitree did it for quadrupeds & now bipeds!

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Animesh Garg @animesh-garg.bsky.social · 25/06/2025

This summer, I've picked up my long-form writing again on my blog at praxiscurrents.substack.com. I'm starting with a deep dive into the importance of data-driven methods in the robotics -- The age of empiricism in Physical AI Feel free to visit and subscribe for regular updates.

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Reposted by Animesh Garg

ICLR Conference @iclr-conf.bsky.social · 27/04/2025

Huge thanks to the #ICLR2025 Organizing Committee (including many who couldn't make it to the conference) 👏👏👏

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Animesh Garg @animesh-garg.bsky.social · 25/04/2025

Come chat with us at ICLR 2025 today 3-5pm in Hall 3 + Hall 2B #182 EgoSim: Egocentric Exploration in VirtualWorlds with Multi-modal Conditioning egosim.github.io/EgoSim/ Wei Yu #401 PWM: Policy Learning with Multi-task World Models imgeorgiev.com/pwm/ Varun Giridhar ncklashansen.bsky.social

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Animesh Garg @animesh-garg.bsky.social · 05/04/2025

To all the folks arguing studying AI safety is scaremongering Were you tracking the markets yesterday. Unintended use cases by powerful yet uninformed users can cause immense irreversible damage nearly immediately! #AI_SafetyMatters!

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Animesh Garg @animesh-garg.bsky.social · 31/03/2025

A lot of kids who grew up on robotics science fiction are working hard to make it real. The next few years in robotics 🚀 🔥! Agility raises 400m on 1.75B pre! www.theinformation.com/articles/hum... Congrats to Agilityrobotics team! @cpaxton.bsky.social, Peggy Johnson, Pras V. , Jonathan H.

theinformation.com

Humanoid Robotics Startup Agility is Raising $400 Million

Agility Robotics, a humanoid robot maker led by former Microsoft executive Peggy Johnson, is raising $400 million at a pre-investment valuation of $1.75 billion, according to a person who has seen the...

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Reposted by Animesh Garg

The Matter Lab @thematterlab.bsky.social · 03/03/2025

Check out our website any-place.github.io & paper www.arxiv.org/abs/2502.04531 for more details! 📣 to all our authors & collaborators: @allanzhao.bsky.social, Miroslav Bogdanovic, Chengyuan Luo, Steven Tohme, Kourosh Darvish, @aspuru.bsky.social, Florian Shkurti, @animesh-garg.bsky.social [5/5]

any-place.github.io

AnyPlace: Learning Generalized Object Placement for Robot Manipulation

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Animesh Garg @animesh-garg.bsky.social · 24/02/2025

How can robots reliably place objects in diverse real-world tasks? 🤖🔍 Placement is hard! - objects vary in shape & placement modes (such as stacking, hanging, insertion) AnyPlace predicts placement poses of unseen objects in real-world with ony using synthetic training data! Read on👇

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Animesh Garg @animesh-garg.bsky.social · 19/02/2025

sure you can read the cool new LLM paper. but, you know what is needed to make it work behind the scenes? Thousands of GPUs humming in perfect harmony. Thx @thomwolf.bsky.social & @huggingface.bsky.social for writing such a wonderful treatise huggingface.co/spaces/nanot...

huggingface.co

The Ultra-Scale Playbook - a Hugging Face Space by nanotron

The ultimate guide to training LLM on large GPU Clusters

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Animesh Garg @animesh-garg.bsky.social · 16/02/2025

We must remind ourselves that those who hold views contrary to one’s own are rarely evil or stupid, and may know or understand things that we do not. news.stanford.edu/stories/2017... Resist intellectual monoculture 🙏🏼💪

media.tenor.com

a cartoon of peter griffin standing in front of a sign that says the beatles

ALT: a cartoon of peter griffin standing in front of a sign that says the beatles

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Animesh Garg @animesh-garg.bsky.social · 16/02/2025

Reality is stranger than fiction! Satire is limited by the imagination of well-meaning creators, real stupidity knows no bounds

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Animesh Garg @animesh-garg.bsky.social · 15/02/2025

This is so ridiculous! Laws are supposed to represent the spirit and values of the people It does feel freedom is at stake like it was in colonial times! For folks less versed in colonial history, the tenure of Madam Umbridge at Hogwarts might be a good example 😉

media.tenor.com

a group of people are standing next to each other on a brick sidewalk .

ALT: a group of people are standing next to each other on a brick sidewalk .

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Animesh Garg @animesh-garg.bsky.social · 15/02/2025

It is not always about vision but viability of selling it upstream in the management chain And often upstream gets excited (or fomo’ed) into doing things because of external stimulus Nonetheless good for robotics that all large tech players are entering the stake seriously

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Animesh Garg @animesh-garg.bsky.social · 08/02/2025

Of all the people who think indirect costs in research are a rip-off, let us play a simple game: Could you perform the same research with the same amount of money (in direct cost) starting out in your garage? Think on all pieces that are needed beyond core tech comms, space, equipment, admin,

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