Privacy Policy
RG-DOC // PRIV_01Last Updated: March 15, 2026
This Privacy Policy describes how Robot Genesis Lab (“we,” “us,” or “our”) collects, uses, and protects data within our Infrastructure for Intelligence. This document outlines our practices regarding sensor data, simulation logs, and user information.
1. Data Collection
Sensor Data Streams
During physical and simulated robotic operations, we collect high-frequency sensor telemetry. This includes kinematic state vectors, LiDAR point clouds, RGB-D camera feeds, and proprioceptive feedback. This data is critical for the continuous evolution of our behavioral models.
Simulation Logs
Interactions within the Experience Engine generate comprehensive simulation logs. These logs capture environmental variables, agent decision matrices, collision events, and physical perturbations. They are stored securely in our centralized data lake.
2. Data Usage
Model Training & Refinement
Collected data is primarily utilized to train reinforcement learning models and optimize neural network architectures. We anonymize physical environment details where applicable to prioritize generalizable intelligence over specific spatial memorization.
Performance Optimization
Telemetry helps us identify hardware bottlenecks and software inefficiencies. We analyze failure logs (highlighted as Warning Events) to deploy OTA updates that improve the robustness of deployed robotic units.
3. Security Measures
We employ industrial-grade security protocols to safeguard all intelligence infrastructure.
- check_circleEnd-to-end encryption (AES-256) for all in-transit and at-rest simulation data.
- check_circleStrict access controls governed by zero-trust architecture principles.
- check_circleRegular penetration testing of our central data lake and edge node endpoints.
For privacy inquiries: privacy@robotgenesislab.com