Autonomous Flight, UAS, Simulation & Space AI
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Curated Certification CAS09
Apply high-fidelity simulation, autonomy, machine learning and human oversight to aircraft, UAS, rovers and spacecraft while maintaining verification, robustness and safety discipline.
Benchmark: Curated source set: MIT OpenCourseWare + NASA NESC Academy -- Credential note: this is a Zuyini mastery certificate built from the cited public courses. It is not issued, sponsored or endorsed by the source institutions, providers or companies.
Core Course Stack
1. Small UAS Operations - MIT Ground School
2. Standard 6-DOF Flight Vehicle Simulation Check-Cases
3. Evolution of Mars Rover Surface Navigation Autonomy
4. Pitfalls of Autonomy
5. Toward Trusted Autonomous Space Guidance - 2026
6. Urban Air Mobility - Total Energy Flight Control
7. System ID Methods for Aero Modeling & Validation
8. Guidance, Navigation & Control - Autonomy / Robust Control Catalog
Hands-On Mastery Capstone
Build an autonomous aerospace mission in simulation. Define vehicle/environment models, sensing, guidance/control and autonomy logic; include uncertainty and failure cases, human override, safety constraints and a repeatable evaluation suite.
Proof Rubric
- simulation model
- autonomy architecture
- perception/state inputs
- guidance/control logic
- scenario/eval set
- failure/uncertainty tests
- human-override design
- safety and performance scorecard