Sudharshan Suresh

Research scientist & tech lead @BostonDynamics Atlas // Prev: @AIatMeta and PhD at @CMU_Robotics.

[Sudharshan Suresh @Suddhus]

I'm a featured interview in our latest behind-the-scenes release! We break down the ML and perception that drives the whole-body manipulation behaviors from last year. It starts with a neat demo of Atlas's range-of-motion and our vision foundation models. https://t.co/pABFxxQZlo

[Sudharshan Suresh @Suddhus]

@LerrelPinto @Meta Congrats Lerrel!!

[Sudharshan Suresh @Suddhus]

@kevin_zakka @pabbeel Congrats Kevin!

[Carolina Higuera @carohiguerarias]

Most world models for robot manipulation learn physics from pixels. But pixels don’t see it all.

Can we ground these models in the "feeling" of contact to disambiguate visually identical states?

Visuo-Tactile World Models (VT-WM): robot imagination in a shared space👇

[Andy Zeng @andyzengineer]

https://t.co/6a1IWWbhoo

[Chuer Pan @chuer_pan]

Check out UMI-FT, the newest member of the UMI family! 🐣

We integrated a coin-sized🪙, low-cost, 6-axis force-torque sensor behind each UMI Fin Ray finger.

The sensor is physically compact, mechanically robust, and extremely easy-to-calibrate against ATI -- directly measures physically meaningful force/torque outputs (N/Nm).

UMI-FT enables in-the-wild robot learning with force-aware manipulation data, without needing in-the-wild robots or relying on traditional, bulky, thousands-dollar F/T sensors!

A cross-paradigm bonus: because the coinFT sensor outputs physically meaningful force/torque values (N/Nm), you can directly run standard admittance control to get F/T-aware compliant robot fingers -- no learning required, immediately useful!

Checkout @Hojung_Choi_' post for deets!

[Sudharshan Suresh @Suddhus]

It's been amazing to work with @HaozhiQ and I've learnt a lot from him, excited for his new lab!

[Haozhi Qi @HaozhiQ]

I will join UChicago CS @UChicagoCS as an Assistant Professor in late 2026, and I’m recruiting PhD students in this cycle (2025 - 2026).

My research focuses on AI & Robotics - including dexterous manipulation, humanoids, tactile sensing, learning from human videos, robot systems, and anything needed to make robots truly work and improve everyday life. I also place strong emphasis on open-source.

Check my homepage to learn more: https://t.co/gBZAFrwZmg.

Please reachout if you are interested! The deadline is Dec 11th. Link: https://t.co/yKTmcZu7FP.

[Sudharshan Suresh @Suddhus]

@luisenp Really sorry to hear Luis, working with you was so meaningful for my PhD work. Hope you are doing alright!

[Sudharshan Suresh @Suddhus]

@gabe_mrgl Really cool work Gabe!

[Sudharshan Suresh @Suddhus]

@mangahomanga @JohnsHopkins @JHUCompSci Congrats Homanga!!

[Ted Xiao @xiao_ted]

Same for ego data, UMI data, etc. An open secret is “we used ego4d” actually means filtering out the 1% of videos that are vaguely useful for learning.

Occlusions, suboptimality, sensor noise, and so many pitfalls!

Modeling + collect co-design is only gold standard currently.

[Kevin Zakka @kevin_zakka]

I'm super excited to announce mjlab today!

mjlab = Isaac Lab's APIs + best-in-class MuJoCo physics + massively parallel GPU acceleration

Built directly on MuJoCo Warp with the abstractions you love.

[Lucas Manuelli @lucas_manuelli]

I'll be giving a talk @CoRL2025 about developing large behavior models on Atlas. Come by the dexterous manipulation workshop at 11:30 to see the talk, https://t.co/PaM1fAcYvM

[Sudharshan Suresh @Suddhus]

@JasonMa2020 Congrats Jason! Awesome to see Dyna grow.

[Lawrence Yunzhou Zhu @LawrenceZhu22]

Can we scale up mobile manipulation with egocentric human data?

Meet EMMA: Egocentric Mobile MAnipulation

EMMA learns from human mobile manipulation + static robot data — no mobile teleop needed!

EMMA generalizes to new scenes and scales strongly with added human data.

1/9

[Sudharshan Suresh @Suddhus]

Lucas and co. wrote a great blogpost on the careful science and engineering behind language-conditioned policies for whole-body manipulation!

There's a lot more work on the horizon; our team is hiring researchers to scale egocentric human data and VLMs for robotics. Reach out!

[Lucas Manuelli @lucas_manuelli]

Today I’m proud to share what I’ve been working on recently with my team at @BostonDynamics along with our collaborators at @ToyotaResearch .

https://t.co/yExkGIdwxb

[Sudharshan Suresh @Suddhus]

I had a great time presenting at the workshop - Check out my talk and the other amazing panelists here!
https://t.co/6qlZMv0fwP

[Haozhi Qi @HaozhiQ]

📹Recording now available!
If you missed our workshop at RSS, you can now watch the full session here: https://t.co/1VnLjRyleN

Thanks again to all the speakers and participants!

[Sudharshan Suresh @Suddhus]

I'll be speaking at the RSS Dexterous Manipulation Workshop tomorrow, discussing our recent work with Atlas!

[Haozhi Qi @HaozhiQ]

We are excited to host the 3rd Workshop on Dexterous Manipulation at RSS tomorrow!

Join us at OHE 122 starting at 9:00 AM! See you there!

[Sudharshan Suresh @Suddhus]

Viser is such an amazing tool for the community - congrats to @brenthyi and co!

[Brent Yi @brenthyi]

July has been a big month for Viser!
- Released v1.0.0😊
- We did some writing

Some demos👇

[Russ Tedrake @RussTedrake]

TRI's latest Large Behavior Model (LBM) paper landed on arxiv last night! Check out our project website: https://t.co/AV2cmfeX40

One of our main goals for this paper was to put out a very careful and thorough study on the topic to help people understand the state of the technology, and to share a lot of details for how we're achieving it.

https://t.co/EVFLJAY6Zu

[Siddhant Haldar @haldar_siddhant]

Current robot policies often face a tradeoff: they're either precise (but brittle) or generalizable (but imprecise).

We present ViTaL, a framework that lets robots generalize precise, contact-rich manipulation skills across unseen environments with millimeter-level precision. 🧵