Microsoft Research Blog

Microsoft Research Blog

The Microsoft Research blog provides in-depth views and perspectives from our researchers, scientists and engineers, plus information about noteworthy events and conferences, scholarships, and fellowships designed for academic and scientific communities.

Microsoft AirSim now available on Unity

November 14, 2018 | By Ashish Kapoor, Principal Researcher, Research Manager; Shital Shah, Principal Research Engineer

AirSim in editor

At Microsoft, we have a vision and passion to bring artificial intelligence solutions to real-world systems using the power of simulation. We continually strive to accelerate AI advances with the use of realistic simulators, tools, and environments.

Today we are excited to announce AirSim availability on Unity.  AirSim developers will be able to leverage the Unity platform and ecosystem when building, training and evaluating autonomous systems in a simulated environment designed for AI.

What is AirSim?

AirSim is an open-sourced system designed to train autonomous systems. AirSim provides realistic environments, vehicle dynamics, and multi-modal sensing for researchers building autonomous vehicles that use AI to enhance their safe operation in the open world.

Engineers building autonomous systems can create accurate, detailed models of both systems and environments, making them intelligent using methods such as deep learning, imitation learning and reinforcement learning. Tools such as Bonsai can be used to train the models across a variety of environmental conditions and vehicle scenarios in the cloud on Microsoft Azure – much faster and safer than is feasible in the real world. After training is complete, designers can deploy these trained models onto actual hardware.


An experimental version of AirSim on Unity is available now on GitHub and you can learn more by visiting the Unity blog. Learn more about AirSim here.

We believe that Unity on AirSim represents an important step toward building real world AI solutions using the power, flexibility, and scale of simulators.

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