Just wrapped a 4-day motion capture dataset shoot at our studio in India. Wanted to share some behind-the-scenes since motion data is becoming increasingly critical for humanoid robot training and imitation learning.
What we did:
- 12 actors
- Continuous day + night shooting
- Structured locomotion and action datasets
- High-volume capture (1800+ sequences)
- 24-hour production cycles to meet deadline
What’s interesting about this:
Most AI/ML teams working on humanoid control or embodied AI are stuck with either:
- Low-quality synthetic data
- Academic datasets that don’t scale
- Building their own infrastructure (expensive)
We realized professional motion capture studios have the infrastructure already built. So we’re now offering this as a service specifically for ML teams.
The dataset we captured is structured for imitation learning — actions, locomotion, complex movements. Not cinematic. Not game-ready. Built specifically for training.
If you’re working on humanoid robotics, gesture recognition, or motion-based ML models and need real human movement data, this is now available as a service.
More details: www.appleartsstudios.com
Happy to answer questions about dataset format, motion capture quality, or scaling.
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