首页|Research Data from University of La Laguna Update Understanding of Robotics (Imp roving Odometric Sensor Performance By Realtime Error Processing and Variable Covariance)
Research Data from University of La Laguna Update Understanding of Robotics (Imp roving Odometric Sensor Performance By Realtime Error Processing and Variable Covariance)
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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 originating from Tenerife, Spain, by NewsRx correspo ndents, research stated, “This paper presents a new method to increase odometric sensor accuracy by systematic and non-systematic errors processing. Mobile robo t localization is improved combining this technique with a filter that fuses the information from several sensors characterized by their covariance.”
TenerifeSpainEuropeEmerging Techno logiesMachine LearningRobotRoboticsUniversity of La Laguna
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