This is a control system designed for complex machines, specifically robots, that efficiently manages different software tasks. It runs critical, fast-response control tasks very frequently, while also processing longer, more complex tasks like planning robot movements in the background. If the background planning task starts to fall behind, the system can dynamically boost its priority to ensure the robot's trajectory calculations stay ahead, preventing delays or errors in operation.
Why it matters: Since 2018, the integration of AI for complex robot path planning and decision-making has become prevalent. The invention's dynamic priority adjustment for computationally intensive trajectory calculations is now crucial for integrating these AI tasks into real-time robot control systems.
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