john so

robots! prev @tesla_optimus, @1x_tech, @stanford, @berkeley_ai. raised by @berkeleyml

[john so @johnrso_]

What is the best way to learn behaviors from videos? By modeling point trajectories, our method, ATM, helps robots learn even from videos of humans and other robots 🤝

Grateful to have worked with amazing collaborators; check it out below!

[Xingyu Lin @Xingyu2017]

What state representation should robots have? 🤖 I’m thrilled to present an Any-point Trajectory Model (ATM), which models physical motions from videos without additional assumptions and shows significant positive transfer from cross-embodiment human and robot videos! 🧵👇

[michelle pan @michelllepan]

the six love languages are words of affirmation, quality time, gift giving, acts of service, physical touch, and..

..machine learning. this year ML valentines have a new home on the internet <3

[anandmaj @Almondgodd]

I spent the past month reimplementing DeepMind’s Genie 3 world model from scratch

Ended up making TinyWorlds, a 3M parameter world model capable of generating playable game environments

demo below + everything I learned in thread (full repo at the end)👇🏼

[john so @johnrso_]

@Almondgodd @Tesla_Optimus my goat fr

[Haoyu Xiong @Haoyu_Xiong_]

Your bimanual manipulators might need a Robot Neck 🤖🦒

Introducing Vision in Action: Learning Active Perception from Human Demonstrations

ViA learns task-specific, active perceptual strategies—such as searching, tracking, and focusing—directly from human demos, enabling robust visuomotor policies under visual occlusions. 🧵👇

[michelle pan @michelllepan]

coming to the Exploratorium today! thank you @CatieCuan for bringing me along on this wild adventure :)

https://t.co/wvE3SfJ5cD

[michelle pan @michelllepan]

it's a bird! it's a plane! it's a ... 9 foot robot hand?

[john so @johnrso_]

@CadeGordonML @Anthropic woo congrats big dog!!! 🐕

[Amber Xie @amberxie_]

Introducing ✨Latent Diffusion Planning✨ (LDP)! We explore how to use expert, suboptimal, & action-free data. To do so, we learn a diffusion-based *planner* that forecasts latent states, and an *inverse-dynamics model* that extracts actions.

w/ @_oleh @DorsaSadigh @chelseabfinn

[Karan Dalal @karansdalal]

Today, we're releasing a new paper – One-Minute Video Generation with Test-Time Training.

We add TTT layers to a pre-trained Transformer and fine-tune it to generate one-minute Tom and Jerry cartoons with strong temporal consistency.

Every video below is produced directly by the model in a single shot, without editing, stitching, or post-processing. Every story is newly created.

Demos: https://t.co/BSHsucizoG
Paper: https://t.co/agJKUAExpz

[Amit Kumar @amitku]

A simple idea to build the @UCBerkeley startup alumni network has grown beyond my wildest dreams into #AccelScholars, a tight-knit community of the most ambitious, talented, kind-hearted people, whose individual stories we’ve been fortunate to support for the past eight years

[john so @johnrso_]

@1x_tech so quiet and so smooth 😮

[john so @johnrso_]

@karansdalal @1x_tech wow indeed

[1X @1x_tech]

Introducing NEO Gamma.
Another step closer to home.

[Haochen Shi @HaochenShi74]

Time to democratize humanoid robots!
Introducing ToddlerBot, a low-cost ($6K), open-source humanoid for robotics and AI research.
Watch two ToddlerBots seamlessly chain their loco-manipulation skills to collaborate in tidying up after a toy session.
https://t.co/tIrAUCbzNz

[Xiaomeng Xu✈️IROS @XiaomengXu11]

Can robots leverage their entire body to sense and interact with their environment, rather than just relying on a centralized camera and end-effector?

Introducing RoboPanoptes, a robot system that achieves whole-body dexterity through whole-body vision.

https://t.co/encmRFhxM0

[Poornima Rao @RaoPoornima]

Update on @suchirbalaji

We hired private investigator and did second autopsy to throw light on cause of death. Private autopsy doesn’t confirm cause of death stated by police.

Suchir’s apartment was ransacked , sign of struggle in the bathroom and looks like some one hit him in bathroom based on blood spots.

It’s a cold blooded mu*d*r declared by authorities as suicide.

Lobbying in SF city doesn’t stop us from getting justices.

We demand FBi investigation

@elonmusk @VivekGRamaswamy @GavinNewsom @MEA

[Mengda Xu @mengdaxu__]

Can robots acquire real-world manipulation skills without real-world robot training data?

Introducing Im2Flow2Act:

— a framework that leverages object flow to bridge human video and simulation data, enabling scalable skill acquisition.

Project Website: https://t.co/SgrLC8iLAs

[Murtaza Dalal @mihdalal]

Can my robot cook my food, rearrange my dresser, tidy my messy table and do so much more without ANY demos or real-world training data?

Introducing ManipGen: A generalist agent for manipulation that can solve long-horizon robotics tasks entirely zero shot, from text input!
1/N

[Yifan Hou @YifanHou2]

Can robots learn to manipulate with both care and precision? Introducing Adaptive Compliance Policy, a framework to dynamically adjust robot compliance both spatially and temporally for given manipulation tasks from human demonstrations. Full detail at https://t.co/fVsG4jq0T6

[Shuran Song @SongShuran]

We recently launched https://t.co/mshIJSnIYu as a community-driven effort to pool UMI-related data together. 🦾

If you are using a UMI-like system, please consider adding your data here. 🤩🤝

No dataset is too small; small data WILL add up!📈