This invention describes a computer program designed to help robotic and autonomous systems share data efficiently, especially when many of them are working together. It first calculates an ideal plan for their actions and then refines it to account for real-world limitations like internet bandwidth, battery power, or processing capacity. This refinement uses an iterative process to find the best possible plan under those specific constraints. The claims narrow this to a computer-implemented method.
Why it matters: Filed in 2019, this invention addresses resource constraints in multi-agent systems. Since then, the proliferation of edge AI, more complex autonomous fleets, and distributed computing has intensified the need for efficient resource management, while advancements in reinforcement learning and optimization algorithms may make solving these complex CA-POMDPs more feasible.
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