首页|Researchers from Korea University Publish Findings in Robotics (Classification o f Floor Materials Using Piezoelectric Actuator-Sensor Pair and Deep Learning for Mobile Robots)
Researchers from Korea University Publish Findings in Robotics (Classification o f Floor Materials Using Piezoelectric Actuator-Sensor Pair and Deep Learning for Mobile Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting out of Seoul, South Korea, by NewsRx edito rs, research stated, "Analyzing floor surface materials is critical for controll ing the motion and tasks of mobile robots. In this study, we propose a novel met hod for classifying floor materials for indoor mobile robots using a piezoelectr ic actuator-sensor pair and deep learning." Financial supporters for this research include National Research Foundation of K orea (Nrf) Grant; Korea Ministry of Science And Ict. The news journalists obtained a quote from the research from Korea University: " This method can classify the floor properties itself with isolated sensing syste m while the mobile robot is moving. The piezoelectric pair is a thin-film type. It consists of an actuator and a sensor. The sensing pair is positioned at the b ottom of the robot. When the robot moves forward, the sensing part collects the electrical responses from the actuator. Since one-dimensional data is collected through the piezoelectric actuatorsensor pair, the size of the system is small and the data processing speed can be reduced. Using this mechanism, experiments were conducted to classify various materials of floor surfaces in indoor environ ments. The sensing data were processed by fast Fourier transform, high-pass filt er, polynomial fitting, and sampling to be used as inputs for machine learning o f the classification model. Specifically, the trained model achieved a high accu racy of 95.4%."
Korea UniversitySeoulSouth KoreaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRobotics
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