Robotics & Machine Learning Daily News2024,Issue(MAY.22) :55-56.

New Findings from University of Connecticut in the Area of Robotics Described (M inimax Rao-blackwellized Particle Filtering In 2d Lidar Slam)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :55-56.

New Findings from University of Connecticut in the Area of Robotics Described (M inimax Rao-blackwellized Particle Filtering In 2d Lidar Slam)

扫码查看

Abstract

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.

Key words

Storrs/Connecticut/United States/Nort h and Central America/Emerging Technologies/Machine Learning/Robot/Robotics/University of Connecticut

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文