# hanruihua/ir-sim

A  Python-based lightweight robot simulator designed for navigation, control, and learning

Repository: https://github.com/hanruihua/ir-sim
Canonical: https://ross.abutalabs.com/products/ir-sim
Homepage: https://ir-sim.readthedocs.io/en/stable/
Language: Python
License: MIT
License Family: permissive
Topics: autonomous-driving, navigation, python, robotics, simulator, control, robotics-simulation, multi-agent, reinforcement-learning, ir-sim, path-planning
Last push: 2026-09-02T02:25:10+00:00

## Health v2 (maintenance only)
Score: 100/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 100, release rhythm 100, longevity 100
- inputs: {"age_days": 1556, "days_push": 1, "days_rel": 1, "gap_med": 19, "n_releases_24m": 40}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1122, forks 143 (observed 2026-09-03T02:15:12.602683+00:00)

## What it is
IR-SIM is an open-source, Python-based lightweight robot simulator for navigation, control, and learning. It provides a simple YAML-driven framework with built-in collision detection for modeling robots, sensors, and environments with minimal hardware requirements.

## Use cases
- simulate 2d robot navigation algorithms in python
- test path planning algorithms without hardware
- train reinforcement learning agents for robot control
- simulate multi-agent robot systems
- prototype robot sensing and collision detection
- teach robotics navigation and control concepts

## When to choose
- you need a lightweight 2D robot simulator in Python
- you want to prototype navigation or path-planning algorithms quickly
- you need multi-agent robot simulation with minimal setup
- you are training or testing RL-based robot controllers

## When to avoid
- you need high-fidelity 3D physics simulation like Gazebo or Isaac Sim
- you require hardware-in-the-loop or realistic sensor noise modeling
- you need photorealistic rendering for vision-based learning

## Facets
- artifact type: library
- maturity: active
- function: simulation, machine-learning, robotics
- domain: robotics, simulation, reinforcement-learning, autonomous-vehicles
- platform: python, cross-platform
- tags: robot-simulator, path-planning, multi-agent, navigation, control, 2d-simulation, yaml-configuration

## Member repositories
- hanruihua/ir-sim (main) score 100

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:12.602683+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:41:11.704590+00:00, confidence not recorded.
  - readme: https://github.com/hanruihua/ir-sim (fetched 2026-09-03T02:15:12.602683+00:00, sha b1b4012d8abd)
  - registry_pypi: https://pypi.org/pypi/ir-sim/json (fetched 2026-08-29T12:45:47.741783+00:00, sha 54f8c5b82b89)
- Data as of 2026-08-30T08:39:29.467469+00:00.