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Abstract:
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The process of developing genetic algorithms, genetic programs or training neural networks is a time consuming task. When the target device is an autonomous mobile robot, this development is often performed using software simulation. Software simulations are a cost effective tool and provide researchers with the ability to test out multiple algorithms quickly and efficiently. However, the end result is that the optimized algorithm(s) must be implemented and tested on an actual robot to evaluate performance in the real world. Significant cost can be associated with this final step. In this paper we propose to leverage Radio Frequency Identification (RFID) and a low- cost RFID capable mobile robot with the intent of creating basic foraging behavior. Additionally, we will present experimental results that demonstrate the effectiveness of using Genetic Programming (GP) and a low-cost RFID capable robot to create foraging behavior by presenting our experimental results.
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