hanruihua/ir-sim

Health v2 · maintenance only

Adoption not part of the score

1146 stars · 148 forks observed · 2026-10-16

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity active

simulation machine-learning robotics robotics simulation reinforcement-learning autonomous-vehicles python cross-platform robot-simulator path-planning multi-agent navigation control 2d-simulation yaml-configuration

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hanruihua/ir-sim")