How It Works
The RoboX system operates through a sequence of steps that ensure accurate, private, and verifiable data flow.
1. Join a Mission
Users select active missions within their region. Each mission defines:
Data type requested (e.g., motion, light, or positional data).
Reward rate (per kilometer, minute, or verified scan).
Time frame and regional availability.
2. Collect and Pre-Process Data
Once active, the app collects sensor data through standard phone capabilities:
Accelerometer and gyroscope readings
GPS coordinates (region-clustered, not raw)
Magnetometer and ambient light input
Device motion and orientation
Before transmission:
Raw readings are filtered and compressed.
Identifiers are removed or obfuscated.
Data is normalized into mission-defined formats.
It protects user privacy and guarantees data integrity before everything is merged into the shared pool.
3. Data Validation
Every uploaded dataset passes through validation stages to ensure integrity and usability.
Validation process includes:
Quality Filtering: Checks for incomplete, noisy, or duplicate readings.
Cross Verification: Confirms spatial and temporal consistency between multiple contributors.
Anonymization Review: Confirms all identifying metadata has been stripped before aggregation.
Only validated data contributes to mission outcomes and rewards.
4. Reward Allocation
Each mission has a predefined reward pool in RoboX Points.
Points are distributed based on verified data quantity and quality.
Conversion rates between points and tokens are transparent and visible inside the app.
Users can stake or redeem their tokens once the live token system is deployed.
Reward summaries include total points earned, conversion potential, and contribution ranking.
5. Aggregation and Access
Validated data is compiled into mission-specific datasets and stored within the RoboX network. Authorized partners, developers, and research groups can request aggregated outputs through the RoboX Developer Portal (launch phase planned post-token rollout).
Data Access Tiers:
Public Datasets – anonymized, open-source missions.
Partner Missions – organization-funded projects with restricted data access.
Research Archives – academic use with transparent publishing conditions.
Key Technical Features
Low Power Consumption – edge collection algorithms minimize energy impact.
Offline Mode – data is cached locally when no connection is available and synced later.
Secure Transmission – all uploads use encrypted channels with regional routing.
User Control – scanning can be paused, adjusted, or terminated at any time.
Example Scenario
Mission: Lane Boundary Mapping Region: Paris Goal: Improve visual navigation for autonomous delivery robots.
A user commutes for 40 minutes. During the trip, the RoboX app logs orientation, motion, and GPS vectors. After validation, their contribution yields 480 RoboX Points. The dataset becomes part of a continually refreshed 3D map accessible to robotics partners.
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