Conor Mc Gartoll

research eng intern @amazon | robot learning research @UCSanDiego

[Conor Mc Gartoll @cmcgartoll]

@yswhynot @physical_int Congrats Yisha!! So exciting!

[Conor Mc Gartoll @cmcgartoll]

@Stone_Tao @physical_int Congrats! Can you share any of the hot takes on simulation in the era of foundation models?

[Sachin Bhadang @bhadang_sachin]

A robot policy trained on one tactile sensor usually breaks the moment you swap the sensor. New hardware → recollect data → retrain.

We built TACTX: train tactile policies on one sensor, deploy zero-shot on a physically different one.

The catch, these sensors don't just look different, they measure contact through totally different physics:
👁️ Daimon — vision-based · 🧲 eFlesh — magnetic · ⚡ FlexiTac — resistive
Same contact but completely different raw signals. 🧵

[Nicklas Hansen @ncklashansen]

Super excited to share the last paper of my PhD: "Hallucination in World Models is Predictable and Preventable"✨

We train a 350M-param generative world model on a large dataset w/ 210 tasks and show that we can predict *when* hallucination happens and use that to fix it!

🧵1/n

[yisha @yswhynot]

If the end goal of robot hands is to perform human motion, then we should optimize the hardware design with human motion - and on a large scale!
We can generate both a high-dof generalist hand, and also low-dof specialized hands from human demonstration.

[Conor Mc Gartoll @cmcgartoll]

@Visa #stop

[Xiaolong Wang @xiaolonw]

Excited to share that Assured Robot Intelligence (ARI) has joined @Meta to help build the future of humanoid intelligence!

When we started ARI one year ago, our mission was clear: achieve physical AGI. Through deep customer engagements and real-world deployments, it became clear to us that serving the massive opportunity ahead requires training a truly general-purpose physical agent.

We believe this agent will be humanoid — and that scaling will come from learning directly from human experience, not teleoperation alone. Meta’s ecosystem brings together the key components needed to make this vision possible. We will be joining Meta Superintelligence Labs (MSL) to help bring personal superintelligence into the physical world.

We are incredibly grateful to the brilliant minds, robotics researchers, engineers, partners, and supporters who have worked with us on this journey. Thank you to our investors and angels, led by @aixventureshq , for believing in our mission.

This is just the beginning.

[Conor Mc Gartoll @cmcgartoll]

@VMises76153 @IlirAliu_ this is super neat, just curious, what makes it cost over $1k?

[Conor Mc Gartoll @cmcgartoll]

@yassineyousfi_ @ericjang11 @danwwang Excellent book

[Conor Mc Gartoll @cmcgartoll]

@zachglabman @aranibatta Physical intelligence

[Conor Mc Gartoll @cmcgartoll]

@_advaitpatel that's sick, congrats!

[Conor Mc Gartoll @cmcgartoll]

@chris_j_paxton lgtm

[Conor Mc Gartoll @cmcgartoll]

@TheHumanoidHub Why does it have shoes lmao

[Conor Mc Gartoll @cmcgartoll]

@chris_j_paxton Stylistically, I feel like it's a better wearable AI interface than some chunky amulet, and honestly, people wear their AirPods all the time, so I see the mass product appeal. Personally, a future of people wearing earbuds all the time talking to AI is sad tho

[Conor Mc Gartoll @cmcgartoll]

@_advaitpatel @peterliuposts 😂

[Conor Mc Gartoll @cmcgartoll]

@jacobrintamaki very interested, could you add me

[Conor Mc Gartoll @cmcgartoll]

@Sentdex @carlosdponx Don't forget the amazing AI chatbot

[Conor Mc Gartoll @cmcgartoll]

@simar_kareer @physical_int Did you design custom wrist cameras for this?

[Conor Mc Gartoll @cmcgartoll]

@ChetanWanjare @saranormous What do u mean, lose context?