[Abstract] The simulator can generate a random environment for developers to test their drones or robots, but its audience is not only autonomous vehicles.
The Verge Chinese Station reported on February 18
Microsoft recently shared with the open source community an interesting simulator tool called Aerial Informatics and Robotics Platform that allows developers and researchers to test drones and robots in a virtual environment. And training to prepare for use in the real world.
Although we have previously seen simulators that help test drone paths and prepare equipment for automation, Microsoft claims that its new tools are much more advanced and can more accurately reflect the real world challenges.
Engineers are already exploring the possibility of training real action in the virtual world. Some of them modify games such as "Grand Theft Auto" to create a test environment, and even test AI works in "My World."
Microsoft uses the latest photorealistic technology in this simulator. Shadows and reflections are very realistic.
"You can do a lot of experimentation. Even if these experiments fail, the damage caused in the real world is quite low," said Ashish Kapoor of the Microsoft Research Institute responsible for the project. "In the real world, trying all possibilities is extremely Difficult, but the simulator allows us to do this."
The simulator can generate a random environment for developers to test their drones or robots, but its audience is not only autonomous vehicles. Kappor pointed out that this simulator is still in the early stage of R&D, mainly for “any kind of autonomous driving vehicleâ€, but it will also be able to help robot vision and even other data-driven machine learning systems in the future.
“You can think of it as a data generator,†explains Kapoor. “If you have any kind of sensor, such as a barometer, laser sensor, or radar, you can generate a lot of training data for these sensing modalities. ."
For auto-pilot vehicles to respond correctly to real-world conditions, researchers need to establish a set of algorithms. Collecting training data is crucial to the establishment of algorithms. Microsoft's simulator is not intended to replace the test in the real world, but to cooperate with it to repeat the situation that may occur hundreds of times.
It is reported that this simulator now includes support for DJI and MavLink drones, so developers do not need to write additional code to control these drones. In the future, Microsoft also plans to add more tools to help developers build awareness and security processing capabilities for AI-driven autonomous vehicles.
In addition, the beta version of this simulator was introduced free of charge on GitHub a few days ago through an open source license. (Author: Tom Warren, the compiler: Eskimo)
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