Challenge–Extra Challenge [b] are open experiments in Nakanoshima (Osaka, Japan) for
testing autonomous robots in urban environments, similar to the Tsukuba Challenge which …

Global localization is a challenging problem of using sensor data to estimate the pose of a
robot in an environment when the starting pose is unknowm. The conventional probabilistic …

Autonomous navigation emerges from both motion and local visual perception in real-world
environments. However, most successful robotic motion estimation methods (eg VO, SLAM …

Localization is fundamental to enable the use of autonomous mobile robots. In this work, we
use magnetic-based localization. As Earth's geomagnetic field is stable in time and is not …

Global localization allows a robot to determine its own pose (position and orientation) within
a known map of its environment without having any prior information about its initial pose …

Recursive state estimation is often used to estimate a probability density function of a
specific state, eg a robot's pose, over time. Compared to Kalman filters, Sequential Monte …

Most data fusion methods assume all data sources to be conditionally independent. In most
cases, this is a practical choice, rather than an assumption derived from the observed …

抄録 Recent years, mobile robots are expected to provide security and transport in multi floor
buildings such as condominiums and office buildings. To move between floors, robots need …