Mobile robot path planning in an unknown environment is a fundamental and challenging
problem in the field of robotics. Dynamic window approach (DWA) is an effective method of …

Aiming at the problem of vehicle model tracking error and overdependence in traditional
path planning of intelligent driving vehicles, a path planning method of intelligent driving …

Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …

In this paper, mobile robotics and present tools used in localization, mapping, and
navigation of a mobile robot are discussed. The main purpose of this paper is, given a map …

This study presents a review of the literature that addresses the problem of autonomous
navigation in crowded indoor environments. Navigation in this type of environment is a …

This work describes the performance of a DPNA-GA (Dynamic Planning Navigation
Algorithm optimized with Genetic Algorithm) algorithm applied to autonomous navigation in …

We describe the design and implementation of an autonomous prototype vehicle which finds
an empty parking slot in a parking area, and parks itself in the empty parking slot, using …

Regarding autonomous vehicle navigation, reinforcement learning is a technique that has
demonstrated significant results. Nevertheless, it is a technique with a high number of …

Abstract Deep Q Network (DQN) plays a crucial role in path planning for autonomous mobile
robots. The traditional DQN algorithm has problems such as slow convergence speed and …

We present a novel method for autonomous navigation of motorized wheelchairs in shared
indoor environments with humans, utilizing Deep Reinforcement Learning and Computer …