Shulou(Shulou.com)05/31 Report--

The content of this article mainly focuses on how to use ModelArts reinforcement learning algorithm to change the navigation trajectory. The content of the article is clear and easy to understand, and the organization is clear. It is very suitable for beginners to learn and worth reading. Interested friends can read along with Xiaobian. I hope everyone gets something out of this article!

In the just-concluded HC Keynote, we demonstrated the ability of robot dogs based on Huawei ModelArts and Atlas 200DK to build "perception + cognition + decision-making." Among them, how does the robot dog use the ModelArts platform for cloud collaboration to use reinforcement learning algorithms for path switching?

The first path has flames in it. It's a dangerous path.

After the robot dog makes its own decision, it generates a second path to bypass the flame.

First, the robot dog will sense the location of the flame, establish a reinforcement learning training environment, and automatically upload it to obs. Use ModelArts SDK to launch cloud-based reinforcement learning training to train robot dogs how to find the optimal path to put out fires. After the training, the model will be imported into the ModelArts platform and the online reasoning service will be deployed. At this time, only need to automatically obtain service token and API can call online service to reason, obtain safe path, and finally control the robot dog to bypass the flame to put out the fire.

Specific examples are as follows:

1. Start reinforcement learning training with ModelArts SDK;

2. Import models in ModelArts platform;

3. Deploy online services on the ModelArts platform.

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