WiFi-Based Deep Learning Model for Indoor Robot Positioning
Development of a deep learning technique to help robots navigate new environments, and “see” in situations without a clear line of sight, or when backgrounds are featureless.
Zhang Le
Institute for Infocomm Research (I2R)
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests 
IEEE Internet of Things Journal
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Researchers from I2R designed a lightweight indoor robot
positioning system which operates on cost-effective WiFi-based received
signal strength.
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