Recently, with the in-depth development of Industry 4.0 worldwide, mobile robots have
become a research hotspot. Indoor localization has become a key component in many fields …

Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

In this paper we propose an efficient data-driven solution to self-localization within a
floorplan. Floorplan data is readily available long-term persistent and inherently robust to …

Conventional sensor-based localization relies on high-precision maps, which are generally
built using specialized map** techniques involving high labor and computational costs. In …

There are about 253 million people with visual impairment worldwide. Many of them use a
white cane and/or a guide dog as the mobility tool for daily travel. Despite decades of efforts …

We present a fully-integrated sensing and control system which enables mobile manipulator
robots to execute building tasks with millimeter-scale accuracy on building construction …

Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …

LiDAR-based odometry and map** is used in many robotic applications to retrieve the
robot's position in an unknown environment and allows for autonomous operation in GPS …

This paper proposes a method to integrate the rich semantic data-set provided by Building
Information Modeling (BIM) with robotics world models, taking as use case indoor semantic …

Indoor localization is one of the crucial enablers for deployment of service robots. Although
several successful techniques for indoor localization have been proposed, the majority of …