首页|Studies from School of Computing Yield New Data on Robotics (2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation)
Studies from School of Computing Yield New Data on Robotics (2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation)
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2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been presented. According to news originating from Daejeon, South Korea, by NewsRx correspondents, research stated, “Particle filtering is a reliable Monte Carlo algorithm for estimating the state of a system in modeling non-linear, non-gaussian elements for estimation and tracking applications in various fields, including robotics, navigation, and computer vision.” Financial supporters for this research include Challengeable Future Defense Technology Research And Development Program Through The Agency For Defense Development (Add) Funded By The Defense Acquisition Program Administration (Dapa) in 2023.
School of ComputingDaejeonSouth KoreaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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IEEE
