Design high-fidelity simulation stacks that combine physics accuracy, procedural scene generation, and language-driven scenario scripting to accelerate robotics training.
1. **Discovery (Weeks 0-4):** Assess requirements, gather assets, and define core tasks.
2. **MVP Build (Weeks 4-12):** Stand up scene generation, physics, and basic agent integration.
3. **Scaling (Weeks 12-20):** Optimize performance, add domain randomization, and integrate RL pipelines.
4. **Governance (Weeks 20-24):** Launch asset provenance tracking, reproducibility tooling, and audit logs.
5. **Transfer Loop (Weeks 24-32):** Conduct initial real-world trials, calibrate physics, and iterate.
6. **Continuous Operations (Weeks 32+):** Automate curriculum updates, maintain dashboards, and support multiple teams.