Object-level data association and pose estimation play a fundamental role in semantic
SLAM, which remain unsolved due to the lack of robust and accurate algorithms. In this …

Automatic crack detection and segmentation plays a significant role in the whole system of
unmanned aerial vehicle inspections. In this paper, we have implemented a deep learning …

This article presents an assistance system based on home sensors, Ambient Intelligence,
and Artificial Intelligence, which helps the elderly during their medical treatment at home to …

ABSTRACT Aim/Purpose This paper proposes a new approach to developing a deep
learning-based prototyping wearable model which can assist blind and visually disabled …

In the past, information technology was frequently considered a waste from Lean
manufacturing perspective. Though the business landscape evolves and competition from …

Visual localization is a fundamental capability in robotics and has been well studied for
recent decades. Although many state-of-the-art algorithms have been proposed, great …

Fast recognition of elevator buttons is a key step for service robots to ride elevators
automatically. Although there are some studies in this field, none of them can achieve real …

Autonomous elevator operation is considered a promising solution for mobile navigation in
office buildings. As a fundamental function, elevator button recognition remains unsolved …

Autonomous elevator button operation is an indispensable function for robot-elevator
interaction, which has long been considered an intelligent solution for multifloor navigation …

Purpose Because mobile manipulators are unable to climb stairs, the elevator operation is a
crucial capacity to help those kinds of robot systems work in modern multifloor buildings …