A Highly Reliable, Low Power Consumption, Low-Cost Multisensory Based System For Autonomous Navigational Mobile Robot

This work focuses on the collaborations of low cost multisensor system to produce a complementary collision-free path for autonomous mobile robots. The proposed algorithm is used with a modified version of A * searching algorithm to produce the shortest, and most energy-efficient path from a given initial point to a goal point. The experimental results demonstrate that the robot is capable of measuring different distances to obstacles in unknown environments. The proposed model is characterized by its low cost, low power consumption, and its efficiencies in following shortest path while avoiding collisions.

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