Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

The aesthetics of robot learning:

JannikGrothusen's profile picture

Jannik Grothusen

3,403 subscribers

26,112 görüntüleme • 8 ay önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

9 Yorum

Jay@Proception profil fotoğrafı
Jay@Proception8 ay önce

That's a great application!

Ary Indarapu profil fotoğrafı
Ary Indarapu8 ay önce

What type of arms?

Jannik Grothusen profil fotoğrafı
Jannik Grothusen8 ay önce

TRLC-DK1:

SandyBay profil fotoğrafı
SandyBay8 ay önce

It's clearly teleop. How can you call it "robot learning"? It's learning of an operator, not robot's AI.

Darsh profil fotoğrafı
Darsh8 ay önce

This is beautiful

avi profil fotoğrafı
avi8 ay önce

more of this

Firesky10 profil fotoğrafı
Firesky108 ay önce

what is the paper for this video?

Gaben | Alpha⚕️ profil fotoğrafı
Gaben | Alpha⚕️8 ay önce

@MBxxvv robot learning aesthetics? ser that's just RLHF copium with extra rendering

Reza Sayar profil fotoğrafı
Reza Sayar8 ay önce

Nice! I mean for a >$7,000 USD setup there's a considerable amount of wiggle / shaking still, no? 👀 Why do you think that is?

Benzer Videolar

The Robot Learning Company (The Robot Learning Company) makes automation accessible beyond factories by building affordable AI-powered robot arms to automate repetitive, stationary tasks. Congrats on the launch, Jannik Grothusen!
0:47

The Robot Learning Company (The Robot Learning Company) makes automation accessible beyond factories by building affordable AI-powered robot arms to automate repetitive, stationary tasks. Congrats on the launch, Jannik Grothusen!

Y Combinator

46,872 görüntüleme • 1 yıl önce

Meet the robot learning to assemble IKEA furniture
1:43

Meet the robot learning to assemble IKEA furniture

Mashable

26,118 görüntüleme • 2 yıl önce

We're hiring in robot learning at World Labs! Join me, Fei-Fei Li, and the team to define and scale the next generation of world models for robot learning! Atlas for Robotics: Real-to-Sim-to-Real: Apply:
0:41

We're hiring in robot learning at World Labs! Join me, Fei-Fei Li, and the team to define and scale the next generation of world models for robot learning! Atlas for Robotics: Real-to-Sim-to-Real: Apply:

Yunzhu Li

174,210 görüntüleme • 1 ay önce

Reinforcement learning is used to speed the production of behavior for the Boston Dynamics Atlas humanoid robot. At the heart of the learning process is a physics-based simulator that generates training data for a variety of maneuvers.
1:10

Reinforcement learning is used to speed the production of behavior for the Boston Dynamics Atlas humanoid robot. At the heart of the learning process is a physics-based simulator that generates training data for a variety of maneuvers.

RAI Institute

76,771 görüntüleme • 1 yıl önce

See our robot open doors, water plants, assemble a box, and more by learning from watching humans. Using <1hr of robot data.
0:59

See our robot open doors, water plants, assemble a box, and more by learning from watching humans. Using <1hr of robot data.

Skild AI

36,203 görüntüleme • 9 ay önce

Robot Learning from a Physical World Model
0:50

Robot Learning from a Physical World Model

AK

34,340 görüntüleme • 11 ay önce

Learning by looking. Hyundai’s Boston Dynamic Robot.
1:20

Learning by looking. Hyundai’s Boston Dynamic Robot.

Brian Roemmele

14,464 görüntüleme • 5 ay önce

With the recent progress in large-scale multi-task robot training, how can we advance the real-world deployment of multi-task robot fleets? Introducing Sirius-Fleet✨, a multi-task interactive robot fleet learning framework with 𝗩𝗶𝘀𝘂𝗮𝗹 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹𝘀! 🌍 #CoRL2024
0:49

With the recent progress in large-scale multi-task robot training, how can we advance the real-world deployment of multi-task robot fleets? Introducing Sirius-Fleet✨, a multi-task interactive robot fleet learning framework with 𝗩𝗶𝘀𝘂𝗮𝗹 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹𝘀! 🌍 #CoRL2024

Huihan Liu

28,209 görüntüleme • 2 yıl önce

The aesthetics of power
2:58

The aesthetics of power

Lina Seiche

23,404 görüntüleme • 3 ay önce

Robotics has changed dramatically over the last eight years. Ted Xiao has been involved in the cutting edge of robot learning through this period, spending those eight years at Google Brain/Google Deepmind. And he’s identified three eras of robot learning. These eras are: - The Era of Existence Proofs - trying different methods like QT-Opt, on-robot RL - The Era of Foundation Models - transitioning to data collection and clean objectives (i.e. supervised learning) - The Era of Scaling - orders of magnitude more data and larger models, enabling reasoning, long-horizon actions, and cross-embodiment transfer Watch Episode 78 of RoboPapers, with Michael Cho - Rbt/Acc and Jiafei Duan to learn more!
1:10:46

Robotics has changed dramatically over the last eight years. Ted Xiao has been involved in the cutting edge of robot learning through this period, spending those eight years at Google Brain/Google Deepmind. And he’s identified three eras of robot learning. These eras are: - The Era of Existence Proofs - trying different methods like QT-Opt, on-robot RL - The Era of Foundation Models - transitioning to data collection and clean objectives (i.e. supervised learning) - The Era of Scaling - orders of magnitude more data and larger models, enabling reasoning, long-horizon actions, and cross-embodiment transfer Watch Episode 78 of RoboPapers, with Michael Cho - Rbt/Acc and Jiafei Duan to learn more!

RoboPapers

36,838 görüntüleme • 5 ay önce

More than technology — it’s a love letter to human aesthetics. In the design of 2nd-Gen IRON, XPENG refocuses on form itself. This time, the robot gains authentic, human-like texture. ✨ $XPEV
5:38

More than technology — it’s a love letter to human aesthetics. In the design of 2nd-Gen IRON, XPENG refocuses on form itself. This time, the robot gains authentic, human-like texture. ✨ $XPEV

XPENG

763,978 görüntüleme • 8 ay önce

Noble Machines' Moby robot hauling a 50 lb crate. The whole-body control (WBC) is the physical foundation of the learning stack. It absorbs payload variation, contact response, and center-of-mass shifts in real time at the control layer and enabled cleaner data-focused learning
1:37

Noble Machines' Moby robot hauling a 50 lb crate. The whole-body control (WBC) is the physical foundation of the learning stack. It absorbs payload variation, contact response, and center-of-mass shifts in real time at the control layer and enabled cleaner data-focused learning

The Humanoid Hub

17,597 görüntüleme • 5 ay önce

Wobbly humanoid robot is learning to use hands for balance
1:38

Wobbly humanoid robot is learning to use hands for balance

Mashable

16,375 görüntüleme • 3 yıl önce

Happy to announce mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity, the culmination of years of research work in dexterous manipulation with imitation learning.
0:29

Happy to announce mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity, the culmination of years of research work in dexterous manipulation with imitation learning.

Elvis Nava

20,470 görüntüleme • 1 yıl önce

A million hours of what? If we’re scaling human demonstrations for robot learning, what should each hour contain? We built S1, our skill capture glove, alongside our robot hand to record joint movements that map to robot targets, with touch and video on the same timeline.
1:56

A million hours of what? If we’re scaling human demonstrations for robot learning, what should each hour contain? We built S1, our skill capture glove, alongside our robot hand to record joint movements that map to robot targets, with touch and video on the same timeline.

Quanting Xie

51,124 görüntüleme • 6 gün önce

Being-H0.5 Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization
3:51

Being-H0.5 Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization

AK

46,370 görüntüleme • 9 ay önce

One of my favorite works in the "robot learning from human videos" space that I have seen lately. This is because it offers a really coherent and unique way to represent robot skills without a lot of the downsides we see from estimation-based approaches.
0:22

One of my favorite works in the "robot learning from human videos" space that I have seen lately. This is because it offers a really coherent and unique way to represent robot skills without a lot of the downsides we see from estimation-based approaches.

Chris Paxton

78,419 görüntüleme • 1 yıl önce