Research report · Research Prototype
Formula 1 Race Simulation
Simulation research prototype · repository link coming soon if public
Although not a robotics project, the simulation is relevant to the portfolio because it demonstrates uncertainty-aware modelling, reproducibility, and decision analysis.
Abstract
Use race simulation as a clean, explainable environment for modelling strategy, uncertainty, event timing, and reproducible experiments.
Scientific question: How can simulation environments support disciplined experimentation under uncertainty?
Contribution: A simulation-oriented project that demonstrates reproducible modelling, scenario design, and decision analysis.
Marked research artifact slot
Simulation architecture
Architecture figure slot for verified diagrams of modules, data flow, and software boundaries.
Marked research artifact slot
Scenario · event model · outcome distribution
Pipeline slot for GIFs or animations that explain estimation, planning, perception, or evaluation steps.
Marked research artifact slot
Synthetic race-state timeline
Demo slot reserved for real project videos or synthetic demos that are explicitly labeled as synthetic.
Research questions
- How do scenario assumptions affect race outcome distributions?
- How should strategy uncertainty be visualized?
- Which simulation design choices improve reproducibility?
Methods
Implementation status
Implemented
- Simulation framing
- Portfolio integration
Research prototype
- Scenario analysis concept
Planned
- Public repository link if available
- Reproducible notebooks
- Sensitivity plots
Experiments and metrics
Experiments
- Planned strategy-sensitivity analysis
Metrics
- outcome distribution — planned
- scenario sensitivity — planned
Quantitative benchmark tables will be added only after reproducible experiments are available.
Limitations
- Repository link and validated results are not shown unless made public.
- Quantitative claims are intentionally withheld until reproducible benchmark runs are available.
- Visual figures and GIFs are placeholders unless a project page explicitly states that an artifact is generated from real experiments.
Reproducibility plan
Experiment workflow
Each module is prepared to document configuration files, datasets, evaluation metrics, and repeated experiment runs before quantitative claims are shown.
Repository setup
Public repositories are linked when available. Private, planned, or incomplete repositories remain clearly labelled rather than being presented as finished systems.
Literature context
- Simulation methodology
- Decision analysis
- Reproducible experiments
Roadmap
- Publish reproducible examples
- Document assumptions
- Connect simulation lessons to robotics benchmarking