Mrinal Kalakrishnan

Embodied AI Research Lead @ Meta FAIR

[Mrinal Kalakrishnan @mkalakrishnan]

@karthiks @manubhardwaj @abhatnagar To round things off, in the 20 odd years since I've really come to appreciate three-chord music as well. Hey Jude is a classic!

[Mrinal Kalakrishnan @mkalakrishnan]

@chris_j_paxton That's a surprise... it's been great working with you Chris! Excited to see what's next for you; good luck!

[Mrinal Kalakrishnan @mkalakrishnan]

@YevgenChebotar @Figure_robot Congratulations to you and to @Figure_robot!

[Mrinal Kalakrishnan @mkalakrishnan]

@chris_j_paxton @DrJimFan I lean more towards "e2e will eventually triumph", and as justification I'll leave the obligatory reference to "the bitter lesson" here: https://t.co/JUluM6TskZ

But I wouldn't preclude the existence of general-purpose optimization or search layers in the solution.

[Mrinal Kalakrishnan @mkalakrishnan]

Tired of reading "LLMs for robots" papers? We're hiring postdocs who are interested in pushing the boundaries of dexterous manipulation with multi-fingered hands and tactile sensing! If you'd like to pursue some combination of {control, forces, touch, sim-to-real, dexterity, RL, SSL, IL}, as part of an organization that's committed to open science, please apply below.

*no guarantees that our solution to this problem won't eventually use an LLM.

[Mustafa Mukadam @mukadammh]

My team at FAIR @AIatMeta is hiring postdocs. We are working in the space of dexterous manipulation and tactile sensing. If you are interested reach out / apply: https://t.co/1tWqXMeUO8

[Aravind Rajeswaran @ ICML 2026 @aravindr93]

🚀 Exciting news! The Cortex team at #FAIR is looking for #PostDocs to join our research journey! Our mission is to create foundation models for all manner of Embodied AI agents - think robots 🤖, smart glasses 🕶️, and beyond!

🤝 Our commitment? Open-source innovation! Just like our past releases (R3M, VC-1), we're all about sharing our advancements with the community.

💡Interested? Find me or @DhruvBatraDB at #NeurIPS for more details.

[Mrinal Kalakrishnan @mkalakrishnan]

@julianibarz The sorting video looks beautiful, nice work @julianibarz!

[Mrinal Kalakrishnan @mkalakrishnan]

@KuanFang @Cornell @CornellCIS @Cornell_CS Congrats Kuan, well deserved!

[Mrinal Kalakrishnan @mkalakrishnan]

(6/6) Robotics and embodied systems remain one of the big unsolved challenges for AI. We hope you’ll join us to help solve this challenge, and share our advances with the world!

[Mrinal Kalakrishnan @mkalakrishnan]

(1/6) The FAIR Embodied AI team at @MetaAI has multiple full-time openings! If you’re interested in cutting-edge research in AI for robotics, AR and VR, and sharing it with the world, read on. 🧵

[Mrinal Kalakrishnan @mkalakrishnan]

(5/6) The impact of our work can be amplified by presenting it to the world in novel, creative ways. We’re looking for a software engineer to build demo experiences on the web or other devices (phone/AR/VR) that showcase our breakthroughs in embodied AI: https://t.co/nyqtHJhUTj

[Mrinal Kalakrishnan @mkalakrishnan]

@uavster Needs an "all of the above" option!

[Mrinal Kalakrishnan @mkalakrishnan]

@davidchalmers42 @GoogleAI and Everyday Robots built PaLM-SayCan, which allows robots to use language models with real-world grounding to achieve goal-directed action. I'll leave the discussion about agency to the philosophers though!
https://t.co/AkYkui5559

[Google AI @GoogleAI]

Learn how we combined our latest language model, PaLM, with robot learning algorithms to create PaLM-SayCan, a robotics system that uses natural language to complete complex tasks in a real-world environment → https://t.co/ATEI8DwNKa

[Mrinal Kalakrishnan @mkalakrishnan]

@jyothirmayee @sriramk @vijayeraji @jkoppelm @codemangler Wow, that's really kind of you @jyothirmayee!

[Mrinal Kalakrishnan @mkalakrishnan]

@maxbraun @Wittgenstein22 Of course! Had to go with one of the originals though, no offense to @Wittgenstein22!

[Mrinal Kalakrishnan @mkalakrishnan]

Also check out the Google AI blog post for more technical details: https://t.co/k6oj7TwQsR

[Mrinal Kalakrishnan @mkalakrishnan]

Excited to share some new research that our team at Everyday Robots collaborated with Google Research on! PaLM-SayCan takes us one step closer to robots that can understand us: https://t.co/XsUz2PFSDE

[Mrinal Kalakrishnan @mkalakrishnan]

And a website which shows how the robot handles a few different natural language instructions like, “I just worked out. Can you bring me a drink and a snack to recover?” https://t.co/De2YvheydW