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An Efficient Navigation Framework for Autonomous Mobile Robots in Dynamic Environments using Learning Algorithms
2018
Journal of Computer Science and Cybernetics
In this paper, we propose an efficient navigation framework for autonomous mobile robots in dynamic environments using a combination of a reinforcement learning algorithm and a neural network model. The main idea of the proposed algorithm is to provide the mobile robots the relative position and motion of the surrounding objects to the robots, and the safety constraints such as minimum distance from the robots to the obstacles, and a learning model. We then distribute the mobile robots into a
doi:10.15625/1813-9663/33/2/9822
fatcat:wr4imbjjrvgzhi2yv4t5sdmhge