• Mobile Robot Navigation Using Deep Reinforcement Learning🔍
• Deep Reinforcement learning for real autonomous mobile robot ...🔍
• reiniscimurs/DRL|robot|navigation🔍
• Deep reinforcement learning based mobile robot navigation🔍
• Deep Reinforcement Learning in Mobile Robot Navigation Tutorial🔍
• Deep Reinforcement Learning with Enhanced PPO for Safe Mobile ...🔍
• Robot Navigation🔍
• ROS2 Deep Reinforcement Learning Robot Navigation 🔍

Mobile Robot Navigation Using Deep Reinforcement Learning - MDPI

This paper proposes an end-to-end approach that uses deep reinforcement learning for autonomous mobile robot navigation in an unknown environment.

Deep Reinforcement learning for real autonomous mobile robot ...

In this paper we present our proof of concept for autonomous self-learning robot navigation in an unknown environment for a real robot without a map or planner.

reiniscimurs/DRL-robot-navigation - GitHub

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a ...

Deep reinforcement learning based mobile robot navigation: A review

Deep reinforcement learning based mobile robot navigation: A review. Abstract: Navigation is a fundamental problem of mobile robots, for which ...

Deep Reinforcement Learning in Mobile Robot Navigation Tutorial

Deep Reinforcement Learning (DRL) has long been speculated to be able to solve all sorts of tasks in various fields.

Deep Reinforcement learning for real autonomous mobile robot ...

Deep Reinforcement Learning has been successfully applied in various computer games. But it is still rarely used in real world applications ...

Deep Reinforcement Learning with Enhanced PPO for Safe Mobile ...

This study investigates the application of deep reinforcement learning to train a mobile robot for autonomous navigation in a complex environment.

Robot Navigation | Papers With Code

Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments ... In this paper we present our proof of concept for autonomous ...

ROS2 Deep Reinforcement Learning Robot Navigation (TurtleBot3)

The platform is based on ROS2 and provides multiple facilities such as storing/loading models, recording training output, and visualizing neural network ...

Deep Reinforcement Learning Based Mobile Robot Navigation

Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement Learning (DRL) has received significant attention because of its strong ...

Autonomous Navigation with Deep Reinforcement Learning Using ...

In this tutorial I explain how to use deep reinforcement learning to do navigation in an unknown environment. ROS2: Foxy The project is ...

Mobile Robot Navigation based on Deep Reinforcement Learning

We propose an end-to-end approach in this paper using deep reinforcement learning for the navigation of mobile robots in an unknown environment.

Deep Reinforcement Learning for Mapless Mobile Robot Navigation

Deep Reinforcement Learning (DRL) is a machine learning paradigm which enables mobile robots to learn control tasks and complex behaviors on their own. In DRL ...

AbhiRP/Autonomous-Robot-Navigation-using-Deep-Learning ...

Autonomous Robot Navigation using Tensorflow Incpetion V3 Image Recognition Engine and Robot Operating System (ROS) ...

Deep Reinforcement Learning for Autonomous Mobile Robot ...

The number of algorithms that can navigate and control robots in dynamic environments is limited, even though the majority of autonomous robot ...

Deep Reinforcement Learning for Robot Navigation

The goal of this project is to investigate how navigation and collision avoidance mechanisms can be learned from scratch, via a continuous, self-supervised ...

(PDF) Mobile Robot Navigation Using Deep Reinforcement Learning

This paper proposes an end-to-end approach that uses deep reinforcement learning for autonomous mobile robot navigation in an unknown environment.

Deep reinforcement learning for map-less goal-driven robot navigation

We present a new local navigation method for steering the robot to global goals without relying on an explicit map of the environment.

Deep Learning-Based Vision Systems for Robot Semantic Navigation

This paper classifies and discusses recently developed object detection approaches and then presents the available vision datasets that can be employed in ...

Autonomous Robot Navigation and Exploration Using Deep ...

In this paper, robot navigation and exploration methodologies are presented using Deep Reinforcement Learning (DRL).