Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Collecting some data on our robot playground Tau Robotics

alexkoch_ai's profile picture

Alexander Koch

11,595 subscribers

40,145 görüntüleme • 2 yıl önce •via X (Twitter)

EğitimBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Yeah! Teleoperation on low-cost robot arm from Tau Robotics working natively at 200Hz with and a very simple code. We are working a video tutorial to make it easy for anyone to reproduce our setup (in simulation or with a real robot). Stay tuned 😋
0:17

Yeah! Teleoperation on low-cost robot arm from Tau Robotics working natively at 200Hz with and a very simple code. We are working a video tutorial to make it easy for anyone to reproduce our setup (in simulation or with a real robot). Stay tuned 😋

Remi Cadene

31,497 görüntüleme • 2 yıl önce

Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.
0:12

Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.

Axis Robotics

70,876 görüntüleme • 1 ay önce

The next wave of AI adoption is already underway. From biotech to energy, data prediction to robotics, new applications are being built on Nesa and powered by our privacy-first infrastructure. It’s all happening now in the Playground. Join the waitlist today 👉
0:16

The next wave of AI adoption is already underway. From biotech to energy, data prediction to robotics, new applications are being built on Nesa and powered by our privacy-first infrastructure. It’s all happening now in the Playground. Join the waitlist today 👉

Nesa

12,978 görüntüleme • 5 ay önce

Two spacetimes, one data value chain >India: Workers’ headcams record garment sewing egocentric data flows to AI/robotics companies. >China: Operators teleoperate humanoid robots in warehouses, sorting packages …validating the system ,collecting real-world training data.
0:18

Two spacetimes, one data value chain >India: Workers’ headcams record garment sewing egocentric data flows to AI/robotics companies. >China: Operators teleoperate humanoid robots in warehouses, sorting packages …validating the system ,collecting real-world training data.

CyberRobo

107,230 görüntüleme • 5 ay önce

This Chinese robot hand is on another level. Watch it tighten screws with insane precision. #Robot #HumanoidRobot #FutureTech #Innovation #ChinaTech #Robotics #Engineering #NextLevel
0:18

This Chinese robot hand is on another level. Watch it tighten screws with insane precision. #Robot #HumanoidRobot #FutureTech #Innovation #ChinaTech #Robotics #Engineering #NextLevel

China Xinhua News

34,505 görüntüleme • 6 ay önce

Controlling a CM6 robot with a LEAP motion controller. J2 of the robot is a bit underpowered but we mainly tested our algorithm here that we will implement on our other robots. Data is shared at 125Hz between robot and Leap over local network.
0:17

Controlling a CM6 robot with a LEAP motion controller. J2 of the robot is a bit underpowered but we mainly tested our algorithm here that we will implement on our other robots. Data is shared at 125Hz between robot and Leap over local network.

SourceRobotics

14,455 görüntüleme • 2 yıl önce

Robot almost breaks the First Law of Robotics 😳
0:11

Robot almost breaks the First Law of Robotics 😳

Noah

24,853 görüntüleme • 6 ay önce

Robot makes box, makes data, makes faster robot, makes more boxes, makes more data 🔁♾
0:16

Robot makes box, makes data, makes faster robot, makes more boxes, makes more data 🔁♾

Ultra

18,143 görüntüleme • 5 ay önce

This Humanoid #Robot Tightens Fasteners with Speed and Unmatched Accuracy by CTO ROBOTICS Media #Robotics #EmergingTech #TechForGood #Innovation #Technology
0:18

This Humanoid #Robot Tightens Fasteners with Speed and Unmatched Accuracy by CTO ROBOTICS Media #Robotics #EmergingTech #TechForGood #Innovation #Technology

Ronald van Loon

13,177 görüntüleme • 1 ay önce

Our New Open-Source Quadruped Robot "MEVIUS2" has been accepted to IEEE Robotics and Automation Practice (RA-P)! "MEVIUS2: Practical Open-Source Quadruped Robot with Sheet Metal Welding and Multimodal Perception" Threads👇
0:13

Our New Open-Source Quadruped Robot "MEVIUS2" has been accepted to IEEE Robotics and Automation Practice (RA-P)! "MEVIUS2: Practical Open-Source Quadruped Robot with Sheet Metal Welding and Multimodal Perception" Threads👇

Kento Kawaharazuka / 河原塚 健人

26,472 görüntüleme • 6 ay önce

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.
0:16

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.

The Daily Ai

33,311 görüntüleme • 23 gün önce

Video: Unitree Robotics unveils a robot that pushes beyond human limits
0:18

Video: Unitree Robotics unveils a robot that pushes beyond human limits

CGTN

17,245 görüntüleme • 1 ay önce

To be honest. Evaluation in robotics has always been a challenge unlike in vision or language: not enough DATA, not enough TASKS, and too much reliance on FIXED benchmarks. PlayGround pushes us beyond static datasets and predefined tasks, moving robotics evaluation into the era of dynamic evaluation in structure physical domain one at a time. *Can't wait to see how the community scale on this!
0:11

To be honest. Evaluation in robotics has always been a challenge unlike in vision or language: not enough DATA, not enough TASKS, and too much reliance on FIXED benchmarks. PlayGround pushes us beyond static datasets and predefined tasks, moving robotics evaluation into the era of dynamic evaluation in structure physical domain one at a time. *Can't wait to see how the community scale on this!

Jiafei Duan

10,530 görüntüleme • 5 ay önce

Clearly not her first robot rodeo 🤠 . #robotics #robotsareawesome #robot #tech #technology #engineer #engineering #dog #horse #horsingaround #kids #cowgirl
0:12

Clearly not her first robot rodeo 🤠 . #robotics #robotsareawesome #robot #tech #technology #engineer #engineering #dog #horse #horsingaround #kids #cowgirl

Dave Niewinski

97,093 görüntüleme • 3 yıl önce

Sensei Robotics (YC S24) helps robotics companies generate high-quality robotics training data at scale. Their platform collects human demonstration data at a tenth of the cost and twice the speed of current approaches.
0:13

Sensei Robotics (YC S24) helps robotics companies generate high-quality robotics training data at scale. Their platform collects human demonstration data at a tenth of the cost and twice the speed of current approaches.

Y Combinator

314,129 görüntüleme • 2 yıl önce

Scoring robot data is now open to everyone, no robotics background needed. If you can tell a clean run from a sloppy one, you can watch real demonstrations, score what's good enough to train on, and earn points toward The First 100.
0:14

Scoring robot data is now open to everyone, no robotics background needed. If you can tell a clean run from a sloppy one, you can watch real demonstrations, score what's good enough to train on, and earn points toward The First 100.

PrismaX

11,452 görüntüleme • 3 ay önce

How can we more effectively leverage robot data from different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:
0:18

How can we more effectively leverage robot data from different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:

Chenfeng_X

28,329 görüntüleme • 2 yıl önce

Congrats to Boston Dynamics on their new electric version of Atlas robot. Thanks to all the amazing engineering teams at Boston Dynamics, Tesla, and others pushing the field of robotics forward! I can't wait to hang out with Atlas & Optimus together at some point. Robot party 🤣
0:14

Congrats to Boston Dynamics on their new electric version of Atlas robot. Thanks to all the amazing engineering teams at Boston Dynamics, Tesla, and others pushing the field of robotics forward! I can't wait to hang out with Atlas & Optimus together at some point. Robot party 🤣

Lex Fridman

1,538,468 görüntüleme • 2 yıl önce