Rigs, operators, capture receipts and the economics of demonstrations.
EgoSteer-RealWorld, the real-robot dataset used in EgoSteer, holds 54,454 teleoperated episodes (192 hours, 20.75 M frames) of bimanual dexterous manipulation across 193 tasks on a RealMan dual-arm robot, according to its Hugging Face dataset card.
Mecka AI, which collects and analyses human motion data to train humanoid and other robots, is nearing a new round led by Sequoia at a valuation of about $500 million, TechCrunch reports, citing two people with knowledge of the deal. It comes three months after a $60 million round led by Framework Ventures; the terms are not final, and neither company commented.
AGIBOT has open-sourced 11,430 real-world trajectories across 14 industrial and household tasks, including 1,024 successful and 1,369 failed policy rollouts. Annotations cover task progress, completion, errors, disturbances and human interventions, giving structured execution feedback rather than demonstrations alone. It is the reinforcement-learning theme of AGIBOT WORLD 2026, an open-source dataset initiative organised into themes, and the data spans expert demonstrations, autonomous deployment and human-in-the-loop correction.
Figure has come out of stealth with Index, a robot training dataset it says is the most diverse built so far. In four months its creator network uploaded over 16 million videos from more than 100 countries, processing 30 minutes of video every second, with $15 million paid out to contributors. Figure crossed 264,000 app downloads and 44,000 weekly active users while still in stealth, and says it will spend over $1 billion on data and compute in the next twelve months.
Skild AI presents S1 as in-context learning for robotics: one video prompt teaches an unseen task over ten-minute horizons, with no fine-tuning. The company draws the analogy to the shift from BERT-style models, which needed fresh data for each application, to prompting. S1's own framing is that robustly executing a new task has until now meant collecting hours of data and fine-tuning a specialist policy.
Data vendor DecisionFacts has published an evaluation sample of its SO-101 arm teleoperation data: human-teleoperated manipulation episodes filmed from two cameras at 30 fps, with joint states and actions in LeRobot v3.0 format, and failure and recovery episodes labelled alongside the successes. The sample is licensed CC BY-NC 4.0 for research only; the full catalogue is licensed separately.
Everyday Manipulation 3D publishes 1,513 raw RGB-D clips — 10.28 hours across four participants and ten manipulation tasks.
CaryX AI has released 116 episodes of five people doing ten household tasks, recorded with an iPhone Pro's LiDAR, with metric depth, camera pose, MANO hand pose, per-hand object contact, masks and time-aligned language on every frame. It comes in LeRobot v3.0 format under a non-commercial CC-BY-NC-SA-4.0 licence, built for method development rather than broad generalisation claims.
Ego2Robot turns egocentric videos of people handling objects into robot training data by retargeting their actions, rendering robot arms into the footage and filtering for quality: 18,561 hours across 15 robot morphologies, which the authors call the largest such dataset. Pretraining on it alongside robot data improved out-of-distribution generalisation, including on real robots.
