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In this example, you can see a gravity-compensated 2 DOF robot. This concept is being used in all modern robots and we want to bring this exact technology to user affordable robots. Previously we made it with 1 DOF arm now with 2 DOF next is 6-7 DOF robots!...

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SourceRobotics

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17,310 görüntüleme • 1 yıl önce •via X (Twitter)

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Vicharak profil fotoğrafı
Vicharak1 yıl önce

Do you guys use FPGAs?

Wendy Carlosa profil fotoğrafı
Wendy Carlosa1 yıl önce

using the word freedom wrong

Alex Thatcher profil fotoğrafı
Alex Thatcher1 yıl önce

Cool.

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Fast Company1 yıl önce

#AI agents: from tools to teammates. Software that can act, react, and interact with both humans and other agents will transform how businesses operate—and how they should invest in technology. This @EY_US article explains more. #ad

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TeslaElon SpaceXFan1 yıl önce

👍

Hoyer profil fotoğrafı
Hoyer1 yıl önce

Are you planning to do this with gear reducers? A straight bldc motor is very low torque.

SourceRobotics profil fotoğrafı
SourceRobotics1 yıl önce

Yup it will be with gear reductions from 4:1 - 20:1 on the robot we are making

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Mine 4 Heat1 yıl önce

Open loop? Looks like a static amperage for hold that you are overcoming via hand?

SourceRobotics profil fotoğrafı
SourceRobotics1 yıl önce

It is not open loop. You can find whole code and setup to replicate this in this folder:

Benzer Videolar

🦾 We are cooking something really awesome for our next PAROL robot. In this example you can see gravity compensated stepper motors. With our new custom made stepper drivers we can turn any stepper into high performance servo motor with FOC torque, speed and positon control. 🦾
0:34

🦾 We are cooking something really awesome for our next PAROL robot. In this example you can see gravity compensated stepper motors. With our new custom made stepper drivers we can turn any stepper into high performance servo motor with FOC torque, speed and positon control. 🦾

SourceRobotics

13,353 görüntüleme • 1 yıl önce

Hands full of dexterity! 🪬 It is well known that agile, versatile hands for robots are one of the Holy Grails in robotics today. Grippers and robot hands are often underestimated, and they are the actuators behind correct and accurate picking, or placing. This robotic hand was created at the Korea University of Technology and Education. 🇰🇷 The 5-finger, 12-DoF (degrees of freedom) robotic hand features 3-DoF each for the thumb, index, and middle fingers, while the ring and little fingers share a combined 3 DoF. It uses BLDC motors with ball-screw actuators and includes a clutch mechanism to absorb impacts and prevent overload. Now, a challenge for you - guess the year! Kudos to all gripper/hand-developing companies! WE CAN'T PICK WITHOUT YOU! 🏋🏼 ~~~ ♻️ RT to help 1 robot find a new workplace.
0:54

Hands full of dexterity! 🪬 It is well known that agile, versatile hands for robots are one of the Holy Grails in robotics today. Grippers and robot hands are often underestimated, and they are the actuators behind correct and accurate picking, or placing. This robotic hand was created at the Korea University of Technology and Education. 🇰🇷 The 5-finger, 12-DoF (degrees of freedom) robotic hand features 3-DoF each for the thumb, index, and middle fingers, while the ring and little fingers share a combined 3 DoF. It uses BLDC motors with ball-screw actuators and includes a clutch mechanism to absorb impacts and prevent overload. Now, a challenge for you - guess the year! Kudos to all gripper/hand-developing companies! WE CAN'T PICK WITHOUT YOU! 🏋🏼 ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

33,525 görüntüleme • 1 yıl önce

Asked GPT 5.4 Pro to make a 6 DOF robot gripper in Incredible progress, while still some mistakes (this is first attempt, no feedback)
0:29

Asked GPT 5.4 Pro to make a 6 DOF robot gripper in Incredible progress, while still some mistakes (this is first attempt, no feedback)

Ruben Kostandyan

59,109 görüntüleme • 2 ay önce

A new humanoid- this time from India! Muks Robotics unveils the first prototype of SPACEO, featuring a 200kg payload capacity, 10kg arm lifting power, a 7 DOF arm, and an adjustable reach up to 8 ft. The company aims to develop AGI-powered robots to enhance human capabilities.
1:25

A new humanoid- this time from India! Muks Robotics unveils the first prototype of SPACEO, featuring a 200kg payload capacity, 10kg arm lifting power, a 7 DOF arm, and an adjustable reach up to 8 ft. The company aims to develop AGI-powered robots to enhance human capabilities.

The Humanoid Hub

115,925 görüntüleme • 1 yıl önce

Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:
3:52

Scaling vision-language-action (VLA) models to high-DoF dexterous hands has long been a "holy grail" challenge due to the high-dimensional action space and data scarcity. As a wrap up of the year 2025, we are releasing GR-Dexter, a holistic hardware-model-data framework for generalist manipulation on a bimanual dexterous-hand robot. This is the first VLA system to achieve: ✅ High-DoF Control: Managing a 56-DoF bimanual system (21-DoF per hand). ✅ Long-Horizon Tasks with tool use: Vacuuming, bread serving with tongs, and table decluttering. ✅ Open-World Generalization: Robust performance with unseen objects and abstract instructions. Project page: ArXiv:

Xiao Ma

93,749 görüntüleme • 6 ay önce

We trained a humanoid with 22-DoF dexterous hands to assemble model cars, operate syringes, sort poker cards, fold/roll shirts, all learned primarily from 20,000+ hours of egocentric human video with no robot in the loop. Humans are the most scalable embodiment on the planet. We discovered a near-perfect log-linear scaling law (R² = 0.998) between human video volume and action prediction loss, and this loss directly predicts real-robot success rate. Humanoid robots will be the end game, because they are the practical form factor with minimal embodiment gap from humans. Call it the Bitter Lesson of robot hardware: the kinematic similarity lets us simply retarget human finger motion onto dexterous robot hand joints. No learned embeddings, no fancy transfer algorithms needed. Relative wrist motion + retargeted 22-DoF finger actions serve as a unified action space that carries through from pre-training to robot execution. Our recipe is called "EgoScale": - Pre-train GR00T N1.5 on 20K hours of human video, mid-train with only 4 hours (!) of robot play data with Sharpa hands. 54% gains over training from scratch across 5 highly dexterous tasks. - Most surprising result: a *single* teleop demo is sufficient to learn a never-before-seen task. Our recipe enables extreme data efficiency. - Although we pre-train in 22-DoF hand joint space, the policy transfers to a Unitree G1 with 7-DoF tri-finger hands. 30%+ gains over training on G1 data alone. The scalable path to robot dexterity was never more robots. It was always us. Deep dives in thread:
1:17

We trained a humanoid with 22-DoF dexterous hands to assemble model cars, operate syringes, sort poker cards, fold/roll shirts, all learned primarily from 20,000+ hours of egocentric human video with no robot in the loop. Humans are the most scalable embodiment on the planet. We discovered a near-perfect log-linear scaling law (R² = 0.998) between human video volume and action prediction loss, and this loss directly predicts real-robot success rate. Humanoid robots will be the end game, because they are the practical form factor with minimal embodiment gap from humans. Call it the Bitter Lesson of robot hardware: the kinematic similarity lets us simply retarget human finger motion onto dexterous robot hand joints. No learned embeddings, no fancy transfer algorithms needed. Relative wrist motion + retargeted 22-DoF finger actions serve as a unified action space that carries through from pre-training to robot execution. Our recipe is called "EgoScale": - Pre-train GR00T N1.5 on 20K hours of human video, mid-train with only 4 hours (!) of robot play data with Sharpa hands. 54% gains over training from scratch across 5 highly dexterous tasks. - Most surprising result: a *single* teleop demo is sufficient to learn a never-before-seen task. Our recipe enables extreme data efficiency. - Although we pre-train in 22-DoF hand joint space, the policy transfers to a Unitree G1 with 7-DoF tri-finger hands. 30%+ gains over training on G1 data alone. The scalable path to robot dexterity was never more robots. It was always us. Deep dives in thread:

Jim Fan

292,967 görüntüleme • 4 ay önce

1958, The Robot Guest. This Robbie The Robot influenced many ideas of how we see and react to robots even today. It is also one reason anthropomorphic bipedal humanoid robots are easier psychologically.
0:36

1958, The Robot Guest. This Robbie The Robot influenced many ideas of how we see and react to robots even today. It is also one reason anthropomorphic bipedal humanoid robots are easier psychologically.

Brian Roemmele

19,785 görüntüleme • 7 ay önce

AgiBot has launched its OmniHand 2025 series, breaking the cost barrier for dexterous hands. The new 'Agile' model is the first high-DOF hand priced under 10,000 RMB! ► 'Agile' Model: 16 DOF for interactive services. Priced at just 9,800 RMB. ► 'Pro' Model: 19 DOF with 0.1N multi-modal sensing for precise industrial tasks. This is a major step toward making robot hands accessible for wider use, thanks to innovations like their self-developed joint modules.
2:46

AgiBot has launched its OmniHand 2025 series, breaking the cost barrier for dexterous hands. The new 'Agile' model is the first high-DOF hand priced under 10,000 RMB! ► 'Agile' Model: 16 DOF for interactive services. Priced at just 9,800 RMB. ► 'Pro' Model: 19 DOF with 0.1N multi-modal sensing for precise industrial tasks. This is a major step toward making robot hands accessible for wider use, thanks to innovations like their self-developed joint modules.

RoboHub🤖

34,084 görüntüleme • 10 ay önce

A first look at the Forma RaaS Control Interface in action. Live robot state visualization, joint-level control, and task orchestration for 6-DoF arms - all running through a single, web-native dashboard. This control layer is fundamental to Robotics-as-a-Service. It’s what turns robots into remotely accessible, observable, and controllable resources rather than isolated machines. Teach tasks visually, monitor execution in real time, fall back to teleop when needed, and iterate live - without being on-site. This is how decentralized RaaS starts to work in practice.
0:53

A first look at the Forma RaaS Control Interface in action. Live robot state visualization, joint-level control, and task orchestration for 6-DoF arms - all running through a single, web-native dashboard. This control layer is fundamental to Robotics-as-a-Service. It’s what turns robots into remotely accessible, observable, and controllable resources rather than isolated machines. Teach tasks visually, monitor execution in real time, fall back to teleop when needed, and iterate live - without being on-site. This is how decentralized RaaS starts to work in practice.

Forma Robotics

40,233 görüntüleme • 6 ay önce

🔥 #ICRA2026 Best Paper Finalist The era of "robot VLA = single-arm gripper" is ending. Introducing Dexora — the first open-source Vision-Language-Action system for dual-arm, dual-hand, 36-DoF dexterous manipulation. 🦾 Dual Arms 🖐️ Dual Hands 🎯 36 DoF Control 🌍 Open Source Trained on: • 100K simulated trajectories • 10K real-world demonstrations Dexora achieves: ✓ 90%+ success on basic manipulation ✓ Strong dexterous manipulation performance ✓ Cross-embodiment generalization Our key hypothesis: Train on the hardest embodiment. Transfer to simpler robots later. Instead of scaling up gripper policies, we train directly in the most expressive action space and project downward to simpler embodiments. This may be a practical path toward universal robot controllers. 🎥 Demos: 📄 Paper:
2:58

🔥 #ICRA2026 Best Paper Finalist The era of "robot VLA = single-arm gripper" is ending. Introducing Dexora — the first open-source Vision-Language-Action system for dual-arm, dual-hand, 36-DoF dexterous manipulation. 🦾 Dual Arms 🖐️ Dual Hands 🎯 36 DoF Control 🌍 Open Source Trained on: • 100K simulated trajectories • 10K real-world demonstrations Dexora achieves: ✓ 90%+ success on basic manipulation ✓ Strong dexterous manipulation performance ✓ Cross-embodiment generalization Our key hypothesis: Train on the hardest embodiment. Transfer to simpler robots later. Instead of scaling up gripper policies, we train directly in the most expressive action space and project downward to simpler embodiments. This may be a practical path toward universal robot controllers. 🎥 Demos: 📄 Paper:

Hao Zhao

17,048 görüntüleme • 1 ay önce

The best human robots show ever - by a wide margin. The Chinese new year TV this week put the human robot technology to full display. Wow - the robots can dance, box, fect, do gymnastics, turn around, interact with children - please watch! It’s simply amazing - and we all realize - this is just the start.
0:49

The best human robots show ever - by a wide margin. The Chinese new year TV this week put the human robot technology to full display. Wow - the robots can dance, box, fect, do gymnastics, turn around, interact with children - please watch! It’s simply amazing - and we all realize - this is just the start.

Erik Solheim

75,984 görüntüleme • 4 ay önce

The Big Tech oligarchs want to replace tens of millions of jobs with robots. They want robots teaching our kids. Is this the future we want for humanity?
0:58

The Big Tech oligarchs want to replace tens of millions of jobs with robots. They want robots teaching our kids. Is this the future we want for humanity?

Bernie Sanders

388,088 görüntüleme • 9 gün önce

Drop the camera, and bang -- the robots do the job without camera calibration or additional data collection. We want robots to manipulate anywhere! Our new work, **Maniwhere**, enables robots to manipulate objects from any camera view with any background. Isn't this the generalization every roboticist is looking for? How do we achieve this with sim2real? You can check this thread from Zhecheng Yuan ! And the website is here:
0:29

Drop the camera, and bang -- the robots do the job without camera calibration or additional data collection. We want robots to manipulate anywhere! Our new work, **Maniwhere**, enables robots to manipulate objects from any camera view with any background. Isn't this the generalization every roboticist is looking for? How do we achieve this with sim2real? You can check this thread from Zhecheng Yuan ! And the website is here:

Huazhe Harry Xu

27,327 görüntüleme • 2 yıl önce

Boom! Open source LegoGPT is a building AI, and sure it can be used for Legos but it can also be used for Lego-like building of homes. LegoGPT converts meshes to Lego in one step using 1×1, 1×2, 1×4, 1×6, 1×8, 2×2, 2×4, and 2×6 bricks. Then they evaluate the stability of the design. Finally, they render an image and ask GPT-4o to produce captions to go with the image. This sent to robots and they complete the real-time build. This can absolutely scale and as with Legos, you can use smaller pieces for higher resolution. Testing it detail now with robot assembly. Link:
0:45

Boom! Open source LegoGPT is a building AI, and sure it can be used for Legos but it can also be used for Lego-like building of homes. LegoGPT converts meshes to Lego in one step using 1×1, 1×2, 1×4, 1×6, 1×8, 2×2, 2×4, and 2×6 bricks. Then they evaluate the stability of the design. Finally, they render an image and ask GPT-4o to produce captions to go with the image. This sent to robots and they complete the real-time build. This can absolutely scale and as with Legos, you can use smaller pieces for higher resolution. Testing it detail now with robot assembly. Link:

Brian Roemmele

22,363 görüntüleme • 1 yıl önce

Don't sleep on humanoid robots. Humanoid robots are going to play a profound role in our lives, and it will likely be sooner than most expect. I discuss some pivotal questions with jimmah in my effort to gain insight and clarity: - How do you evaluate Tesla's (and other companies') progress with humanoid robots? - Who will be the winner? Or will there be multiple big winners? - How long will it take until we see millions of humanoid robots produced annually? - What's harder for humanoid robots - the hardware of software? - How can we track progress across humanoid robot companies? - What's the next big milestones or demonstrations Tesla can show? If you're going to spend an hour listening/watching anything online this week, I highly recommend this!
1:11:32

Don't sleep on humanoid robots. Humanoid robots are going to play a profound role in our lives, and it will likely be sooner than most expect. I discuss some pivotal questions with jimmah in my effort to gain insight and clarity: - How do you evaluate Tesla's (and other companies') progress with humanoid robots? - Who will be the winner? Or will there be multiple big winners? - How long will it take until we see millions of humanoid robots produced annually? - What's harder for humanoid robots - the hardware of software? - How can we track progress across humanoid robot companies? - What's the next big milestones or demonstrations Tesla can show? If you're going to spend an hour listening/watching anything online this week, I highly recommend this!

Dave Lee

53,757 görüntüleme • 1 yıl önce

Are you ready for the Bad Mad Robot invasion? 🤖 We tested the closed beta with many legends. BADMAD ROBOTS is pushing the challenge! It was my pleasure to be there. You can see how you can get many rewards such as Closed Beta, Ambassador Program and ROBOTS BOX in the article below 👇
5:29

Are you ready for the Bad Mad Robot invasion? 🤖 We tested the closed beta with many legends. BADMAD ROBOTS is pushing the challenge! It was my pleasure to be there. You can see how you can get many rewards such as Closed Beta, Ambassador Program and ROBOTS BOX in the article below 👇

TSUBASA 🥷🎮

26,120 görüntüleme • 1 yıl önce

Below is our open-source arm assembled by one of the discord members! Also, today Physical Intelligence shared their incredible top-notch robotics model Pi0. And I just want to remind you that you can use our arm together with this model and with LeRobot The arm has the same DOF as the arm used by Pi0, but has smaller size and cost starts from 200$ per arm. You can use better motors like we did in our demos, then it will be more precise and stable but the price will be about $600 per arm. Printable files, purchase list, and help with the assembly - in our discord channel.
0:25

Below is our open-source arm assembled by one of the discord members! Also, today Physical Intelligence shared their incredible top-notch robotics model Pi0. And I just want to remind you that you can use our arm together with this model and with LeRobot The arm has the same DOF as the arm used by Pi0, but has smaller size and cost starts from 200$ per arm. You can use better motors like we did in our demos, then it will be more precise and stable but the price will be about $600 per arm. Printable files, purchase list, and help with the assembly - in our discord channel.

Igor Kulakov

53,711 görüntüleme • 1 yıl önce

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."
1:04

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."

Sawyer Merritt

738,530 görüntüleme • 6 gün önce