Soccer Robot Navigation in Grid Environments Based on Reinforcement Learning Algorithms
نویسندگان
چکیده
Autonomous mobile robots have been extensively studied not only as an element of industrial and home automation, but also as a test bed in Robocup competitions to academically establish the achievement of artificial intelligence. One of the essential and critical research areas in autonomous robotics is the learning ability which supports robots to autonomously navigate and adapt to a given environment without human guidance. In this paper, we introduce a control architecture for learning mobile robots to navigate in a grid-based model of the environment, and describe our experiments using it to learn control policies for a simple obstacle avoidance task.
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