Abstract
In this paper, we built a device and algorithm to implement autonomous robots that can enhance the efficiency through autonomous knowledge acquisition and sharing. We also propose a quantitative evaluation algorithm of task execution by autonomous mobile robots. In the robotic system, the “Intelligent Data Carrier” provides knowledge of navigation for autonomous mobile robots. An IDC summarizes fragments of knowledge from individual robots and reports the best direction to a destination that a robot wants to go. Based on a stochastic model, we establish a function to evaluate effectiveness of knowledge management by the IDCs. We verify effectiveness of the proposed algorithm by simulations.
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