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I'm planning to build a couple of autonomous robots that can be controlled using embedded systems. My goal is to achieve real-time operation with high speed and accuracy, leveraging deep learning (DL) and machine learning (ML) techniques.

I need to simulate the robots' behavior, plan their movements, and visualize their actions in real-time. I also need to integrate DL/ML models for decision-making and control.

I'm considering using ROS2 (Robot Operating System 2) for simulation, planning, and visualization. Is this the right approach? What other solutions should I consider?

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  • $\begingroup$ Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. $\endgroup$
    – Community Bot
    Commented Apr 29 at 0:19

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