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Robot SF

CI License Python >=3.11 DOI

Gymnasium-based social navigation simulation and benchmarking for a robot moving through pedestrian-filled environments.

Status: Active development. Start here for a quick first touch, then use the linked docs for detailed workflows, benchmarks, and contributor guidance.

Robot SF demo

Start here

I want to... Go to
Understand the project quickly Why Robot SF?
Install dependencies and run the first demos Quickstart
Browse runnable examples examples/README.md
Find architecture, benchmark, and workflow docs docs/README.md
Follow the contributor workflow docs/dev_guide.md
Review repository conventions for agents and contributors AGENTS.md
See the public Zenodo-backed release artifact DOI 10.5281/zenodo.19563812
Trace upstream lineage and citations ACKNOWLEDGMENTS.md

Why Robot SF?

  • Factory-based environments: reusable Gymnasium entry points for robot and pedestrian simulations.
  • Curated examples: quickstart, advanced, benchmark, and plotting workflows live in examples/README.md.
  • Benchmark-oriented tooling: reproducible evaluation, metrics aggregation, and analysis docs are indexed in docs/README.md.
  • Repo-native contributor workflow: setup, validation, and shared scripts/dev/ entry points are documented in docs/dev_guide.md.

Quickstart

The repository uses uv for dependency management and keeps generated artifacts under the git-ignored output/ directory.

git clone https://github.com/ll7/robot_sf_ll7
cd robot_sf_ll7

scripts/dev/check_runtime_requirements.sh
uv sync --all-extras

uv run python examples/quickstart/01_basic_robot.py
uv run python examples/quickstart/02_trained_model.py
uv run python examples/quickstart/03_custom_map.py

These three scripts provide the fastest first-touch path:

  1. 01_basic_robot.py introduces the environment factory and a headless rollout.
  2. 02_trained_model.py replays the bundled PPO benchmark example.
  3. 03_custom_map.py shows how to load and simulate a custom SVG map.

For host packages, optional capabilities, and a fuller setup walkthrough, see docs/dev_guide.md and docs/dev_runtime_requirements.md.

Where to go next

  • Examples: examples/README.md organizes the quickstart path plus advanced features, benchmark runners, and plotting utilities.
  • Documentation index: docs/README.md is the central map for architecture, benchmarking, training, analysis, and context notes.
  • Benchmark and artifact context: the public release artifact is published at 10.5281/zenodo.19563812. For benchmark-specific semantics and caveats, follow the benchmark docs linked from docs/README.md.

Development workflow

Use the development guide as the source of truth for contributor commands. The common local flow is:

uv run pre-commit install
scripts/dev/ruff_fix_format.sh
scripts/dev/run_tests_parallel.sh
BASE_REF=origin/main scripts/dev/pr_ready_check.sh

If you are contributing through an agent workflow or want the repository-specific automation rules, start with AGENTS.md.

Acknowledgments and provenance

The root README stays intentionally short. Upstream lineage, cited papers, and related repositories are preserved in ACKNOWLEDGMENTS.md.

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Gymnasium-based social navigation simulation and benchmarking for a robot moving through pedestrian-filled environments.

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