Abhishek Anand

chief problem solver @fpv_labs | obsessed with human data

[Abhishek Anand @levelheaded_94]

@Pushkar11420566 @xuster Good work on diversity but is monocular rgb good enough for high data fidelity ?

[Abhishek Anand @levelheaded_94]

@xIN_8 This is so cool - what’s the calorie burn here per hour ?

[Abhishek Anand @levelheaded_94]

@anindyadeeps Congrats!!🥂

[Anindyadeep @anindyadeeps]

As much as I like ai for life sciences, I also like to stay updated on whats happening at the physical AI space. I have been seeing a lot of startups popping up in this space recently.

Most of the startups are working as a data provider / vendor. Essentially a problem of ops and scale. While thats all cool, I really like this open source project from @fpv_labs. I was going through their data, and their visualizer is so cool.

I was able to see so many types of modalities in real time, and everything on web. Super cool project. I saw them recently open sourcing around 1 TB+ data at huggingface. Something worth checking out!! Great work.

[Abhishek Anand @levelheaded_94]

@anindyadeeps Thanks! Small step towards long term goal of enabling an open ecosystem around human data.

[Abhishek Anand @levelheaded_94]

@AnjneyMidha The beautiful startup mazes :)

[Abhishek Anand @levelheaded_94]

@HappyyPablo Amazing work! Congrats!

[Abhishek Anand @levelheaded_94]

@fpv_labs So much fun working on this - can't wait to push the next one!

[Abhishek Anand @levelheaded_94]

Dedicating the first one to @ParasChopra and @lossfunk for cultivating a research-first mindset during my residency days - knowingly or unknowingly, we are carrying over that culture at @fpv_labs

[Abhishek Anand @levelheaded_94]

Really proud of our team for this one - we'll publish a lot more over this year, but the first one is always special. Excited to push the boundaries of robotics from India and treat human substrate as a first-class citizen in robotics learning.

[FPV Labs @fpv_labs]

🚨 New Paper (ICRA Workshop, 2026)

MobileEgo Anywhere: Open infrastructure for long-horizon egocentric data on commodity hardware.

Existing robotics egocentric datasets are limited by short episode durations and rely on gated hardware.

We release a framework designed to facilitate the collection of robust, hour-plus egocentric trajectories on a commodity iPhone.

[Abhishek Anand @levelheaded_94]

@pablovelagomez1 Thanks - yea we are working on ultrawide behind the scenes - do you have time to chat sometime this week - we've intgerated rerun into our web viewer but need some support to show larger files on web due to limited native mcap streaming support

[Abhishek Anand @levelheaded_94]

I don’t think people are realising how differentiated our recent release is for physical ai -

1. Collected on commodity hardware
2 High fidelity multimodal data with rgb, dense depth maps, imu, room mesh, hand tracking, 6dof poses and dense action labels
3. Fully reproducible by anyone through Stera SDK.

The data engine for egocentric data is now open source.

https://t.co/4ASv70TgEA

[Nevasini @Nevasini1]

Been digging through STERA-10M all morning. some notes:

10M FPV samples for training world models, just released by @fpv_labs on Hugging Face.

a few reasons I think this matters for embodied AI / spatial intelligence 🧵

https://t.co/yemX4MyaPI

[Abhishek Anand @levelheaded_94]

@JieWang_ZJUI @Penn @GRASPlab @dineshjayaraman @KostasPenn Congrats Jie!

[Abhishek Anand @levelheaded_94]

@ryassho you need an Iphone 12 pro and beyond

[Abhishek Anand @levelheaded_94]

Democratised infra for high-quality multimodal data -> more data labs -> more data diversity without trade off in downstream quality -> accelerated progress towards embodied foundation models -> accelerated future towards the future of abundance.

[FPV Labs @fpv_labs]

Introducing Project Stera by FPV Labs, an open data infra for embodied AI research.

Project Stera includes Stera-10M, with 10M+ frames of long-horizon data with persistent state tracking, and an open-source pipeline that converts raw data into training-ready formats.

[FPV Labs @fpv_labs]

Introducing Project Stera by FPV Labs, an open data infra for embodied AI research.

Project Stera includes Stera-10M, with 10M+ frames of long-horizon data with persistent state tracking, and an open-source pipeline that converts raw data into training-ready formats.

[Anindyadeep @anindyadeeps]

LiteFold just got featured in @YourStoryCo

It’s been 8 months since Cory and I officially started @try_litefold.

We began by building better interfaces and workflows for computational biology, followed by Rosalind, our AI Co-Scientist for therapeutic design.

Now we’re gradually moving toward developing our own in-house scientific and AI research focused on next-generation therapeutic models and research environments and partnerships.

Still very early. Really cant wait to share whats coming.

Story link in the comments

[Abhishek Anand @levelheaded_94]

@manishdiesel Great work - is it reproducible ?

[Paras Chopra @paraschopra]

Gave a talk at Microsoft Research on how @lossfunk operates.

We're still iterating but so far our style of operating has resulted in four papers accepted in ICML, RLC, ACL and ICLR main conferences (+ many workshops).

All undergrads, btw! 🚀

Slides below 👇