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Diffusion has shown great promise for generating robot actions, can it act as a world model to generate the future conditioned on actions? In our work led by han qi Haocheng Yin and in collaboration with Yilun Du, we show a controllable action-conditioned video diffusion model can produce photorealistic... show more

Heng Yang

4,962 subscribers

38,390 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 9

Фото профиля Abhinav Girdhar

Abhinav Girdhar1 год назад

@hanqi359246 @hcy1n @du_yilun This is a huge step forward! Using diffusion models as world models for action-conditioned predictions could revolutionize robotics. Excited to see how this improves policy learning and control.

Фото профиля SecurityPal

SecurityPal1 год назад

In this episode of the 'In Security' Podcast, coming to you from the Himalayas, @WilHarm3, Operating Partner and CISO at @craft_ventures, and Josh Mullis, Head of Information Security at @productiv_inc, share thoughts on the evolving role of a CISO. 🔗:

Фото профиля LongFang

LongFang1 год назад

@hanqi359246 @hcy1n @du_yilun 😮

Фото профиля VictorGallagher

VictorGallagher1 год назад

@hanqi359246 @hcy1n @du_yilun When I see this I think 3D printer control.

Фото профиля T J

T J1 год назад

@hanqi359246 @hcy1n @du_yilun Melt the glaciers

Фото профиля Rohan Sundar

Rohan Sundar1 год назад

@hanqi359246 @hcy1n @du_yilun 😯

Фото профиля Jason Hall

Jason Hall1 год назад

@hanqi359246 @hcy1n @du_yilun cool work!

Фото профиля Maxime Alvarez

Maxime Alvarez1 год назад

@hanqi359246 @hcy1n @du_yilun Seems like a bit wasteful (for compute) to plan in image space, could we adapt this with V-JEPA which gives us video prediction in a latent space? Or is there a benefit to images?

Фото профиля Heng Yang

Heng Yang1 год назад

@hanqi359246 @hcy1n @du_yilun Great comment. Definitely prediction in latent space should be the way forward. Perhaps not just latent space, but more structured representations that are object-centric/semantic. Images may be just a showcase of possibility and first step.

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The Humanoid Hub

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Max Zhaoshuo Li 李赵硕

1,077,021 просмотров • 22 дней назад

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Today we're excited to launch Action: a Claude computer use launcher for macOS. Action is a macOS launcher that can take actions (click, type, and more) on your Mac using Claude’s computer use API. The interface is a floating window triggered by a keyboard shortcut, similar to Spotlight. This lets you see what the model outputs as it performs actions.

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21,622 просмотров • 1 год назад

Attention: this might be the video that opens the door to the future. When a SOTA agent model connects to a robot dog with no remote control— MiniMax M2.1 × Vbot, super-powered in action. A model trained in the virtual world now controls a robot in the physical world. Hello, humans. Welcome to the future.

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MiniMax (official)

151,672 просмотров • 5 месяцев назад

Generative models (diffusion/flow) are taking over robotics 🤖. But do we really need to model the full action distribution to control a robot? We suspected the success of Generative Control Policies (GCPs) might be "Much Ado About Noising." We rigorously tested the myths. 🧵👇

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Chaoyi Pan

111,340 просмотров • 6 месяцев назад

If you have a policy that uses diffusion/flow (e.g. diffusion VLA), you can run RL where the actor chooses the noise, which is then denoised by the policy to produce an action. This method, which we call diffusion steering (DSRL), leads to a remarkably efficient RL method! 🧵👇

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152,824 просмотров • 1 год назад

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86,012 просмотров • 8 месяцев назад

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383,162 просмотров • 5 месяцев назад

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