Ropedia
Physical AI data infrastructure from egocentric capture to model-ready datasets
Community-submitted · content unverified. This organization has not verified ownership or the information in this profile.
About
Ropedia builds data infrastructure for physical and embodied AI. Its stack covers egocentric multimodal capture (HOMIE), a processing engine for structuring physical-world data, and model-ready datasets such as Xperience-10M for robotics and physical AI research. Offices listed in Singapore, Mountain View, Kuala Lumpur, and Shanghai.
- Website
- ropedia.com
- Location
- Singapore; Mountain View, CA, USA
- Added via
- web
- Ownership
- unclaimed
Where to go
Products
- HOMIE — Head-mounted multimodal capture toolkit for in-the-wild physical AI data · Hardware
- Xperience-10M — Open multimodal human-experience dataset for physical AI research · Open Source