首页|New Findings from University of Connecticut in the Area of Robotics Described (M inimax Rao-blackwellized Particle Filtering In 2d Lidar Slam)
New Findings from University of Connecticut in the Area of Robotics Described (M inimax Rao-blackwellized Particle Filtering In 2d Lidar Slam)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Storrs, Connecticut, by NewsRx editors, re search stated, “The localization of a robot is an important problem for accurate mapping via the mobile robot. In this paper, we propose minimax particle filter ing (MPF) for the pose estimation of a mobile robot in the problem of simultaneo us localization and mapping (SLAM) based on 2D LIDAR scans.” Financial support for this research came from National Research Council for Econ omics, Humanities & Social Sciences, Republic of Korea.
StorrsConnecticutUnited StatesNort h and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Connecticut
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