Lightwheel releases EgoSuite-Open100K egocentric human dataset
Lightwheel released EgoSuite-Open100K, a 100,000-hour multimodal egocentric human-behavior dataset for embodied-AI and world-model training, at WRC 2026.
Evidence notes
- The collection spans seven environment categories, 128 scene classes, more than 15,000 collection scenes and more than 15,000 tasks.
- Head- and wrist-mounted views are paired with depth, hand-pose, full-body-pose and event-level semantic annotations for manipulation, coordination and task-sequence learning.
- The first tranche is distributed through Hugging Face and AtomGit, and Lightwheel said the project will be donated to the OpenAtom Foundation for incubation.
Company context
Lightwheel builds Physical AI infrastructure for robotics teams, frontier model developers, and industrial customers. Its platform spans SimReady assets, synthetic and egocentric human data, simulation environments, robotics evaluation, and enterprise deployment tooling.