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Fourier has launched the N1 humanoid, a fully open-source hardware platform with basic operating software. ⦿ 4'3" (1.3 m) tall, weighs 84 lb (38 kg), features 23 DoF ⦿ Structure is a combination of aluminum alloy and engineering plastics ⦿ Swappable battery with a 2-hour runtime per single charge... show more

The Humanoid Hub

65,768 subscribers

55,926 次观看 • 1 年前 •via X (Twitter)

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11 条评论

Billy Zelsnack 🤖/acc 的头像

Billy Zelsnack 🤖/acc1 年前

Link to announcement..

STgenetics 的头像

STgenetics1 年前

With Balanced Breeding Sires from #STgenetics, you can create your own balance! #GAMEON is +3167 GTPI +1.63 GPTAT +1822 lbs Milk #LOGIC is +3217 GTPI +1.75 UDC +2157 lbs Milk #PATAN is +3013 GTPI +2.78 GPTAT +2354 lbs Milk All available in #Ultraplus™.

raywin 的头像

raywin1 年前

First humanoid robots are looking better than the first auto

Cedric Sadai 的头像

Cedric Sadai1 年前

Can’t wait until we move away from that investor-directed marketing era, and start seeing real useful use-cases highlights

Archadius 的头像

Archadius1 年前

China's robots are all soldier demos, while the west is all factory and domestic. Very interesting view to our respective thought processes.

Sim 的头像

Sim1 年前

LFG! Today you can buy a robot who plays like a drunk (I guess the software won’t be included though). Just imagine what will be possible in a few decades!

Miguel Guau! 的头像

Miguel Guau!1 年前

¡El N1 de Fourier demuestra que el open-source puede competir con lo propietario! 23 DoF y 3.5 m/s no están nada mal... aunque mi perro Max aún corre más rápido 😉 #OpenSourceWin

VentureMind AI 的头像

VentureMind AI1 年前

Wow

murc 的头像

murc1 年前

lol, All the Chinese companies are laser focused on running, so in the marathon next week they hope to impress their dear leader Xi.

Anda 的头像

Anda1 年前

A curious little panda wonders if this open-source humanoid enjoys bamboo tea breaks like I do... 🎋

fei xym 的头像

fei xym1 年前

well done !

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2,439,858 次观看 • 6 个月前

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Another win for open-source robotics! 🔥 Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: → Hardware files, bill of materials and full assembly documentation → Simulation assets and training environments → Runtime tools for calibration and real-world control → Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem 🤗 LET'S GO!!! Build it here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,361 次观看 • 1 个月前

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12,964 次观看 • 8 个月前

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Chinese company UBTECH Robotics has unveiled teasers of its U1 series humanoid robots, designed for the mass market The lineup includes two bionic humanoid models: one 183 cm tall and weighing 42 kg, and a smaller version at 168 cm and 35.2 kg. They feature 88 degrees of freedom, Wi-Fi support, and built-in AI for learning and interaction with the environment. Battery life is up to 4 hours. The full presentation is scheduled for June 30, but pre-orders are already open. According to the company, 1,943 units have been reserved.

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433,442 次观看 • 8 个月前

Ringbot: Leg-Wheel Transformer Robot with Monocycle Mobility Ringbot is a robotic platform that integrates a monocycle configuration with legged locomotion, enabling adaptable mobility across varied environments. Developed by KIMLAB, the system replaces traditional monocycle drive components with compact, leg-equipped modules housed within the wheel structure. This design reflects a research focus on novel mobility solutions, combining mechanical innovation and robotics to achieve versatile movement in a compact form. Video source: KIMLAB (Kinetic Intelligent Machine LAB) #robotics #tech #engineering -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Ringbot: Leg-Wheel Transformer Robot with Monocycle Mobility Ringbot is a robotic platform that integrates a monocycle configuration with legged locomotion, enabling adaptable mobility across varied environments. Developed by KIMLAB, the system replaces traditional monocycle drive components with compact, leg-equipped modules housed within the wheel structure. This design reflects a research focus on novel mobility solutions, combining mechanical innovation and robotics to achieve versatile movement in a compact form. Video source: KIMLAB (Kinetic Intelligent Machine LAB) #robotics #tech #engineering -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Wevolver

24,166 次观看 • 1 年前

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.

CyberRobo

60,689 次观看 • 6 个月前

Figure has shared numbers on its 11-month humanoid deployment at BMW's Spartanburg factory. - Contributed to the production of 30,000+ cars (X3 vehicles). - 90,000+ parts loaded. - Ran 10-hour shifts, Monday to Friday. - Estimated 200+ miles of walking. - A single Figure 02 robot achieved 6 months of daily runtime at the factory. - The top hardware failure point was the forearm. Learning have informed the Figure 03 design. Three Critical KPIs were defined: - Cycle Time: 84 seconds. - Part loading accuracy: >99% per shift - Zero interventions requiring a pause or reset of the robot (per shift). The company says: "To meet this (the KPIs), our robot had to achieve precise yet adaptive locomotion, allowing rapid, accurate foot placement and real-time responsiveness to environmental changes."

Figure has shared numbers on its 11-month humanoid deployment at BMW's Spartanburg factory. - Contributed to the production of 30,000+ cars (X3 vehicles). - 90,000+ parts loaded. - Ran 10-hour shifts, Monday to Friday. - Estimated 200+ miles of walking. - A single Figure 02 robot achieved 6 months of daily runtime at the factory. - The top hardware failure point was the forearm. Learning have informed the Figure 03 design. Three Critical KPIs were defined: - Cycle Time: 84 seconds. - Part loading accuracy: >99% per shift - Zero interventions requiring a pause or reset of the robot (per shift). The company says: "To meet this (the KPIs), our robot had to achieve precise yet adaptive locomotion, allowing rapid, accurate foot placement and real-time responsiveness to environmental changes."

The Humanoid Hub

316,375 次观看 • 7 个月前