Client overview
The US client is implementing a project to collect user behavior data to train an AI model in a robotic pick-and-place environment. Participants use an AR/VR headset (PICO 4 Ultra) and five motion trackers to record object movement and interaction in different environments (indoor, public, industrial).
Business Challenges
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High-precision robotics data requirements:
- Robotic training data required precise motion capture and consistent interaction patterns to simulate real-world pick-and-place operations.
Complex environment distribution, data collection had to balance multiple environments:
- 60% indoor household
- 30% retail/public
- 5-10% industrial or restricted locations
Requires a large and stable workforce for 9 months.
Specialized equipment (AR/VR + trackers) requires strict asset management.
Requires daily data uploads → requires a stable network infrastructure.
Ensure consistency when scaling from 500 hours to 2,250 hours/day.
Project Detail
Expected output: Robotics Motion & Environment Interaction Dataset
Total target: 750,000 collection hours (Apr-Dec 2026)
Location: Philippines, Vietnam, Thailand, Indonesia, Malaysia.
Solutions
- Establish scalable data collection operations
- Built regional teams to manage recruitment and participant scheduling
- Coordinated data collection across five countries
- Maintained stable workforce capacity for nine months
- Ensure high-quality robotics motion capture
- Deployed AR/VR headsets and motion trackers for precise movement recording
- Standardized participant workflows for pick-and-place tasks
- Implemented daily device checks and environment validation
- Maintain production consistency at scale
- Monitored daily upload performance from each participant
- Ensured stable internet connectivity and hardware availability
- Applied quality monitoring to prevent data inconsistencies
