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

Achieving full autonomy in navigation is a complicated problem. The most widely used
solution takes up the modular framework for sensing and information processing such as …

In recent years, place recognition techniques have been extensively studied in the domain
of robotic map**, referred to as appearance-based map**. Nonetheless, the majority of …

Abstract The use of Convolutional Neural Networks (CNNs) in image analysis and
recognition paved the way for long-term visual place recognition. The transferable power of …

Purpose Robot localization in dynamic, cluttered environments is a challenging problem
because it is impractical to have enough knowledge to be able to accurately model the …

Localization is one of the most fundamental problems for mobile robot. Aiming at the
phenomenon that robot is prone to be lost in navigation under severe occlusion, a robust …

In this paper, we study autonomous end-to-end navigation for wheeled robots based on
deep reinforcement learning (DRL) in an unknown environment without a priori map. The …

Localization and Simultaneous Localization and Map** (SLAM) is a fundamental module
in any Autonomous vehicle or Autonomous Mobile Robot. In order for an autonomous …

We investigate the loop-closure detection problem for a visual simultaneous localization and
map** (SLAM) system. Generally, a deep neural network is used to solve loop-closure …

The effectiveness of mobile robot aided for architectural construction depends strongly on its
accurate localization ability. Localization of mobile robot is increasingly important for the …