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Roboschool
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About Roboschool
Roboschool is an open-source toolkit that enables developers to quickly and easily design, simulate, and train robotic systems. With Roboschool, users can create their own robotic systems from scratch, or customize existing systems with the user-friendly interface. Roboschool also offers a variety of simulated environments for users to test and evaluate their robotic creations. Roboschool provides users with a comprehensive suite of tools for designing, simulating, and training robotics. It is designed to be intuitive and user-friendly, allowing developers of all levels to create complex robotic systems with ease. Roboschool also simplifies the training process by offering a range of simulated environments for users to test their robotic systems in. This makes it easier for users to ensure that their robotic systems are working as expected before deploying them in the real world. Roboschool is the perfect toolkit for developers who want to explore the exciting world of robotics.
GitHub, Inc.
San Francisco, California, US · Founded 2008
- Founders
- Tom Preston-Werner, Chris Wanstrath, PJ Hyett, Scott Chacon
- Founded
- 2008
- Headquarters
- San Francisco, California, US
- Legal status
- Subsidiary of Microsoft (NASDAQ: MSFT)
Key features
- Design user-friendly robotic systems from scratch
- Customize existing robotic systems with ease
- Simulate robotic designs in various environments
- Comprehensive suite of tools for designing, simulating, and training robotics
- Intuitive and user-friendly interface
- Range of simulated environments for testing and evaluation
Use cases
- Designing and customizing robotic systems for research or development projects
- Simulating robotic designs in various environments to test and evaluate their performance
- Training robotic systems using a range of simulated environments
Pros
- Open-source and freely available for research and development
- Integrated with OpenAI Gym for compatibility with reinforcement learning frameworks
- Provided a variety of pre-built robotic simulation environments for testing and training
- Supported multiplayer and camera-based tasks with joint state observations
- Included keyboard-controlled humanoid for interactive testing
Cons
- Deprecated in favor of PyBullet, with no further updates or support expected
- Requires graphics libraries for headless environments, complicating installation
- Limited to Python 3.5 and 3.6, with no official support for newer versions
- Complex setup process for custom installations beyond standard pip usage
Frequently asked questions about Roboschool
What is Roboschool and what does it do?
Roboschool is an open-source robot simulation toolkit integrated with OpenAI Gym, designed to create and train robotic systems in simulated environments. It provides a suite of tools for designing, simulating, and evaluating robotic models before real-world deployment.
Who is Roboschool suitable for?
Roboschool is suitable for developers, researchers, and students interested in robotics simulation and reinforcement learning. It is particularly useful for those looking to prototype and test robotic systems in a controlled environment.
What are the main features of Roboschool?
Roboschool offers a variety of simulated environments for testing robotic systems, including inverted pendulums, humanoid robots, and multiplayer games. It supports Python 3 and is compatible with Linux, macOS, and some Unix systems.
How do I install Roboschool?
Roboschool can be installed via pip on Ubuntu, Debian Linux, or macOS. For other systems or custom setups, installation from source is required. Additional graphics libraries may be needed for headless environments.
Is Roboschool still actively maintained?
No, Roboschool has been deprecated and is no longer actively maintained. OpenAI recommends using PyBullet as an alternative for robot simulation tasks.
What are the alternatives to Roboschool?
OpenAI recommends PyBullet as a replacement for Roboschool. Other alternatives include MuJoCo, Gazebo, and Unity Robotics Hub for robot simulation and training.
