How can you improve the robustness of a ROS machine learning system?
If you are working on a robotics project that involves machine learning and perception, you might be using ROS (Robot Operating System) as a framework to integrate different components and nodes. ROS is a powerful and flexible tool, but it also comes with some challenges and limitations, especially when it comes to robustness and reliability. In this article, you will learn some tips and best practices to improve the robustness of your ROS machine learning system, such as:
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Naveen JoshiAI, Robotics & Smart Cities Expert | 600K+ Followers
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Dr. Elie Metri"Dream big, act boldly, stay resilient", Creator of the First Saudi Made Humanoid Robots Sara & Mohamed, Building The…
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Shaibaz ShaikhCybersecurity Senior Officer | IT Infrastructure & Clouds| IT Security I IT Governance | End User Computing | Project…