Roboschool
Open-source robot simulation software integrated with OpenAI Gym.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Roboschool?
Roboschool is an open-source framework for simulating robots in various environments, designed to be used alongside the OpenAI Gym. It provides a rich set of scenarios and challenges for training reinforcement learning algorithms.
Key differentiator
“Roboschool stands out by offering a wide range of robot models and environments specifically tailored for reinforcement learning tasks within the OpenAI Gym framework.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, and there is no official support or documentation for other languages.
The project has a relatively low number of contributors on GitHub compared to similar frameworks like Gazebo or MuJoCo.
Simulations involving multiple robots or intricate environments can become slow, leading to extended training times for reinforcement learning algorithms.
The official documentation lacks comprehensive guides and practical examples, making it difficult for new users to get started without external resources.
Fit analysis
Who is it for?
✓ Best for
Academic researchers working on reinforcement learning algorithms who need a variety of robot models to test their theories.
Developers building robotic control systems that require extensive simulation before deployment.
✕ Not a fit for
Teams requiring real-time interaction with physical robots, as Roboschool is purely for simulation.
Projects focused solely on hardware development without an AI or software component.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Roboschool
Step-by-step setup guide with code examples and common gotchas.