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China's largest humanoid robot data training center. Building by the Beijing Shijingshan District government and Leju Robotics Spanning over 10,000m² cover 100 high-frequency scenarios, including industrial manufacturing, commercial services, and home applications. 6 million high-quality data points annually.

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61,637 views • 9 months ago •via X (Twitter)

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Leju Robotics has launched a massive 10,000-square-meter data training center in Beijing, aimed at solving the industry’s data shortage and bridging the "reality gap" for AI models. The facility features 1:1 replicas of 16 real-world scenarios across industrial, home, and healthcare sectors. ► Scale: Over 10,000 sq. meters, featuring 16 detailed real-world scenarios. ► Capacity: Annual production capacity of over 6 million high-quality data entries. ► Training: The Kuavo humanoid robot is already training on-site, achieving a 95%+ success rate on practical tasks like sorting, packing, and inspection. ► Quality: Data sourced from real machine runs, certified at a 99% single-data qualification rate.
1:41

Leju Robotics has launched a massive 10,000-square-meter data training center in Beijing, aimed at solving the industry’s data shortage and bridging the "reality gap" for AI models. The facility features 1:1 replicas of 16 real-world scenarios across industrial, home, and healthcare sectors. ► Scale: Over 10,000 sq. meters, featuring 16 detailed real-world scenarios. ► Capacity: Annual production capacity of over 6 million high-quality data entries. ► Training: The Kuavo humanoid robot is already training on-site, achieving a 95%+ success rate on practical tasks like sorting, packing, and inspection. ► Quality: Data sourced from real machine runs, certified at a 99% single-data qualification rate.

RoboHub🤖

43,066 views • 9 months ago

Leju Robotics has launched the upgraded KUAVO 5/5-W humanoid and wheeled robots, designed to meet the rigorous demands of industrial automation. The robots feature a modular design that is key to flexibility: the legs are quickly replaceable with bipedal configurations (for complex terrain) or wheeled setups (for long-distance stability). The hands are also modular, supporting dexterous hands, grippers, or claws. This adaptability, combined with a rotatable and height-adjustable body, allows the robot to handle a vast range of factory tasks. Built for industrial stamina, the KUAVO series supports a 20kg maximum payload and an upper-body dual-arm payload of 10kg. It is engineered for continuous operation, boasting a battery life of over 8 hours. The control system achieves "silky-smooth" precision via doubled joint communication frequency. To drive high generalizability, Leju relies on a data-driven model. It established China's largest data acquisition center in Beijing (referred to as the "largest humanoid robot skill school") to collect over 6 million data points annually from 1:1 replications of real industrial scenes. This data feeds a universal multi-modal dataset, enabling the robot's "intelligent brain" to continuously learn complex tasks through closed-loop feedback in client factory environments.
3:24

Leju Robotics has launched the upgraded KUAVO 5/5-W humanoid and wheeled robots, designed to meet the rigorous demands of industrial automation. The robots feature a modular design that is key to flexibility: the legs are quickly replaceable with bipedal configurations (for complex terrain) or wheeled setups (for long-distance stability). The hands are also modular, supporting dexterous hands, grippers, or claws. This adaptability, combined with a rotatable and height-adjustable body, allows the robot to handle a vast range of factory tasks. Built for industrial stamina, the KUAVO series supports a 20kg maximum payload and an upper-body dual-arm payload of 10kg. It is engineered for continuous operation, boasting a battery life of over 8 hours. The control system achieves "silky-smooth" precision via doubled joint communication frequency. To drive high generalizability, Leju relies on a data-driven model. It established China's largest data acquisition center in Beijing (referred to as the "largest humanoid robot skill school") to collect over 6 million data points annually from 1:1 replications of real industrial scenes. This data feeds a universal multi-modal dataset, enabling the robot's "intelligent brain" to continuously learn complex tasks through closed-loop feedback in client factory environments.

RoboHub🤖

34,676 views • 8 months ago

Origami Robotics is building high-DOF robotic hands with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap by collecting high-quality, real-world data at scale. Congrats on the launch, Quanting Xie and Ryan Xie!
1:09

Origami Robotics is building high-DOF robotic hands with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap by collecting high-quality, real-world data at scale. Congrats on the launch, Quanting Xie and Ryan Xie!

Y Combinator

88,535 views • 3 months ago

The "sim-to-real" gap just got a massive 2,300m² bridge. 🤖🏗️ NEURA Robotics and TUM are launching the TUM RoboGym at Munich Airport—Europe’s largest training center for Physical AI. Starting mid-2026, a fleet of humanoid robots will begin real-world training to fuel the Neuraverse ecosystem with high-quality, sovereign data.
1:41

The "sim-to-real" gap just got a massive 2,300m² bridge. 🤖🏗️ NEURA Robotics and TUM are launching the TUM RoboGym at Munich Airport—Europe’s largest training center for Physical AI. Starting mid-2026, a fleet of humanoid robots will begin real-world training to fuel the Neuraverse ecosystem with high-quality, sovereign data.

Humanoids daily

25,560 views • 3 months ago

The future is happening now: Zhejiang Humanoid Robot Innovation Center showcases its wheeled humanoid robots in various scenarios, including clothing factories, assembly lines, laboratories, and retail stores. Applications range from single-robot operation to multi-robot collaboration.
2:34

The future is happening now: Zhejiang Humanoid Robot Innovation Center showcases its wheeled humanoid robots in various scenarios, including clothing factories, assembly lines, laboratories, and retail stores. Applications range from single-robot operation to multi-robot collaboration.

CyberRobo

17,020 views • 6 months ago

More humanoid robots from China! Beijing-based industrial robot maker ROKAE Robotics has unveiled two humanoid robot models.
1:45

More humanoid robots from China! Beijing-based industrial robot maker ROKAE Robotics has unveiled two humanoid robot models.

The Humanoid Hub

18,137 views • 1 year ago

China’s first humanoid training base, established by the National Humanoid Robot Innovation Center, began operations yesterday. “The training base is essentially a factory that produces data,” said Jiang Lei, chief scientist of the innovation center. The 50k sq. ft. training hub will launch with over a dozen tasks involving 100 robots from more than 10 companies and institutions, including AGIBOT and Fourier. The data gathered here will eventually be available to companies developing embodied AI models. By 2027, the Shanghai facility aims to scale to support 1,000 robots under training.
0:39

China’s first humanoid training base, established by the National Humanoid Robot Innovation Center, began operations yesterday. “The training base is essentially a factory that produces data,” said Jiang Lei, chief scientist of the innovation center. The 50k sq. ft. training hub will launch with over a dozen tasks involving 100 robots from more than 10 companies and institutions, including AGIBOT and Fourier. The data gathered here will eventually be available to companies developing embodied AI models. By 2027, the Shanghai facility aims to scale to support 1,000 robots under training.

The Humanoid Hub

93,446 views • 1 year ago

🤖 NEW: High Torque Robotics showcased its Mini Pi Plus humanoid at the Beijing robot half-marathon, featuring smooth walking powered by 22 joints.
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🤖 NEW: High Torque Robotics showcased its Mini Pi Plus humanoid at the Beijing robot half-marathon, featuring smooth walking powered by 22 joints.

Cointelegraph

43,768 views • 1 month ago

Announcing our first OpenMind App Store Partner: UBTECH Robotics. UBTECH is a publicly traded robotics company building humanoid and smart service robots for industrial manufacturing, social settings, college & research institutions, and warehousing & logistics. Their fleet includes the Walker humanoid robot line (including Walker X and Walker S2), built for real-world deployment and large-scale production.
0:24

Announcing our first OpenMind App Store Partner: UBTECH Robotics. UBTECH is a publicly traded robotics company building humanoid and smart service robots for industrial manufacturing, social settings, college & research institutions, and warehousing & logistics. Their fleet includes the Walker humanoid robot line (including Walker X and Walker S2), built for real-world deployment and large-scale production.

OpenMind

25,742 views • 5 months ago

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”
2:16

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 views • 1 year ago

Introducing The Largest Organized and Incentivized Human-Data Fleet for General-Purpose Humanoid-Robotics and large language model training Our users are creators that complete daily data quests with crypto incentives through our Mobile App 🧵
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Introducing The Largest Organized and Incentivized Human-Data Fleet for General-Purpose Humanoid-Robotics and large language model training Our users are creators that complete daily data quests with crypto incentives through our Mobile App 🧵

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385,569 views • 2 years ago

🇨🇳The 100-meter dash at the World Humanoid Robot Games, Beijing, China #CHINA #ROBOTICS #humanoid #HumanoidRobots
1:29

🇨🇳The 100-meter dash at the World Humanoid Robot Games, Beijing, China #CHINA #ROBOTICS #humanoid #HumanoidRobots

CN Wire

159,327 views • 10 months ago

Building robot intelligence requires high-quality robot data. But far too many tools to collect data are closed and custom-built. Open Teach is fully open-sourced and is: - Calibration-free - Supports multiple arms, hands, & mobile manipulators - Costs just $500
1:19

Building robot intelligence requires high-quality robot data. But far too many tools to collect data are closed and custom-built. Open Teach is fully open-sourced and is: - Calibration-free - Supports multiple arms, hands, & mobile manipulators - Costs just $500

Lerrel Pinto

53,275 views • 2 years ago

PerfectBit (PerfectBit.ai) creates high-quality training data that's correct by construction. They verify against physics simulators, scientific databases, formal proof systems. LLMs, robotics, AI for Science, and more. Congrats on the launch, Peter Vajda and Seiji Yamamoto!
2:01

PerfectBit (PerfectBit.ai) creates high-quality training data that's correct by construction. They verify against physics simulators, scientific databases, formal proof systems. LLMs, robotics, AI for Science, and more. Congrats on the launch, Peter Vajda and Seiji Yamamoto!

Y Combinator

12,324 views • 1 month ago

Sunday Robotics' Tony Zhao says they're using gloves worn by people doing household chores to create the dataset they'll use to train their foundation model: “This gives us really high-quality data, but also a really high diversity and quantity of data.”
0:50

Sunday Robotics' Tony Zhao says they're using gloves worn by people doing household chores to create the dataset they'll use to train their foundation model: “This gives us really high-quality data, but also a really high diversity and quantity of data.”

TBPN

44,489 views • 3 months ago

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 views • 2 months ago

The Beijing Humanoid Robot Innovation Center on Saturday unveiled the world’s first full-size humanoid robot, "Tiangong," which is entirely electrically powered, boasting a running speed of 6km per hour, and is poised for industrial applications. Standing at 1.63 meters tall and weighing 43 kilograms, "Tiangong" is equipped with state-of-the-art sensors, a high-precision Inertial Measurement Unit capable of 550 trillion operations per second, and 3D vision sensors.
0:57

The Beijing Humanoid Robot Innovation Center on Saturday unveiled the world’s first full-size humanoid robot, "Tiangong," which is entirely electrically powered, boasting a running speed of 6km per hour, and is poised for industrial applications. Standing at 1.63 meters tall and weighing 43 kilograms, "Tiangong" is equipped with state-of-the-art sensors, a high-precision Inertial Measurement Unit capable of 550 trillion operations per second, and 3D vision sensors.

Global Times

35,564 views • 2 years ago