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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.

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CyberRobo

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107,230 Aufrufe • vor 7 Monaten •via X (Twitter)

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I am posting after a Long Time on Twitter, but its to announce a big change. I have started and we are Collecting Egocentric Data at Scale from India, Covering 300 + Commercial Locations 1500 + Households This is the network and base we have built in just past 2 months, as the Robotics companies, VLMs and World Models increase their requirements on Real World Data collection, Human Loops will be keep scaling out capacity. We are on track to collect 1M Hours of Egocentric in the coming 6 months for our clients exclusively. We are maintaining 95% Quality standards across industrial data and running a End - End Operational Management complying all Indian Laws and compensating our partners/operators. (From Environment sourcing, to hardware, Legal contracts, deployment, training, collection, processing) Check our Samples: - Commercial Videos -- Household Videos --- Multimodel ---- Egocentric + Live Audio Narration Links : On the Journey to become #1 India Physical AI Data Partner. We are also building our capacity as annotation and labelling partner for data companies to become end-end partner for companies. A big change from the world of crypto and web3 but physical AI and data space is where i want to build my next venture #Egocentric #EgocentricIndia #PhysicalAI #Robotics #India #AIdata #data #Multimodeldata #worldmodels #VLMs #Humanloops #Egocentridata #Multimodeldata
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I am posting after a Long Time on Twitter, but its to announce a big change. I have started and we are Collecting Egocentric Data at Scale from India, Covering 300 + Commercial Locations 1500 + Households This is the network and base we have built in just past 2 months, as the Robotics companies, VLMs and World Models increase their requirements on Real World Data collection, Human Loops will be keep scaling out capacity. We are on track to collect 1M Hours of Egocentric in the coming 6 months for our clients exclusively. We are maintaining 95% Quality standards across industrial data and running a End - End Operational Management complying all Indian Laws and compensating our partners/operators. (From Environment sourcing, to hardware, Legal contracts, deployment, training, collection, processing) Check our Samples: - Commercial Videos -- Household Videos --- Multimodel ---- Egocentric + Live Audio Narration Links : On the Journey to become #1 India Physical AI Data Partner. We are also building our capacity as annotation and labelling partner for data companies to become end-end partner for companies. A big change from the world of crypto and web3 but physical AI and data space is where i want to build my next venture #Egocentric #EgocentricIndia #PhysicalAI #Robotics #India #AIdata #data #Multimodeldata #worldmodels #VLMs #Humanloops #Egocentridata #Multimodeldata

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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.
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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.

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Eastworlds aims to build the largest dataset of high-quality humanoid teleop data outside of China. While we believe human egocentric data will play a big role in pretraining embodied AI, robot teleop data remains the closest thing to expert demonstration.
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Eastworlds aims to build the largest dataset of high-quality humanoid teleop data outside of China. While we believe human egocentric data will play a big role in pretraining embodied AI, robot teleop data remains the closest thing to expert demonstration.

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Humanoid's humanoid robots are undergoing training at Schaeffler, Siemens, and Ford factories. By 2026, the value of humanoid robots will no longer be judged by data or models, but by their real-world reliability and usefulness at the customer's site.
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Humanoid's humanoid robots are undergoing training at Schaeffler, Siemens, and Ford factories. By 2026, the value of humanoid robots will no longer be judged by data or models, but by their real-world reliability and usefulness at the customer's site.

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✨🇨🇳Workers in a garment factory wear head-mounted cameras to record their sewing operations. The footage is used to train AI and humanoid robots, which will assist workers and improve production line efficiency.😯
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✨🇨🇳Workers in a garment factory wear head-mounted cameras to record their sewing operations. The footage is used to train AI and humanoid robots, which will assist workers and improve production line efficiency.😯

🇨🇳XuZhenqing徐祯卿

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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.
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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.

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Humanoid robots have a truly insatiable appetite for data. Midcentury, another New York-based physical AI company, claims to have surpassed the milestone of 2 million hours of human first-person behavioral data: > It covers over 50 environments and 20,000+ tasks, with hands clearly visible in more than 90% of the footage. > It offers more than just raw video; the dataset includes 3D hand tracking, depth maps, and task annotations, and even bundles in 50,000 hours of gameplay data and 69,000 hours of multilingual dialogue. > Beyond selling data, they have developed a cloud-based simulation platform called "Matrix," enabling humanoid robots to train directly in the cloud using this data. --- Companies like Dyna Robotics have demonstrated that if you feed AI enough egocentric/human-centric data, it can independently grasp the objective laws of the physical world, yielding astonishing model performance. It is fair to say that human behavioral data is becoming the "new oil" of the physical AI era. This achievement has helped Midcentury secure $15 million in seed funding.
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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.
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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.

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Spatial AI ( is building large real-world datasets to teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.

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-> download the Silencio app -> record local noise pollution -> get rewarded Silencio | Voice Data for AI’s first onchain quests are now live on Get Real
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Physical AI gets better with broader real-world data. KGeN captures human experiences at scale to help robots learn from them.
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KGeN Foundation 🟩

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Collecting audio data in the real world. Live music, real-world RL, good vibes across the city, and better tools made for musicians 🎵🌉
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