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Deep Reinforcement Learning for Autonomous Mobile Robot ...


Deep Reinforcement Learning for Autonomous Mobile Robot ...

This study provides an overview of the development of suitable Deep Reinforcement Learning techniques for various applications.

Deep Reinforcement learning for real autonomous mobile robot ...

Abstract page for arXiv paper 2005.13857: Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments.

deep reinforcement learning for autonomous robot

Mapping and exploration of a priori unknown environments are crucial capa- bilities for mobile robot autonomy. Information-theoretic exploration methods ...

Mobile Robot Navigation Using Deep Reinforcement Learning - MDPI

The method is concerned with the autonomous navigation of mobile robots from the current position to the desired position using only a current visual ...

Experimental Research on Deep Reinforcement Learning in ...

The experimental results of mobile robot autonomous navigation in the Gazebo simulation environment show that the trained DQN can approximate the state action ...

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.

Deep reinforcement learning-aided autonomous navigation with ...

Mobile robots are playing an increasingly significant role in social life and industrial production, such as searching and rescuing robots, ...

(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 Mapless Navigation ... - IEEE Xplore

This paper presents a study on the mapless navigation of autonomous mobile robot using Deep Reinforcement Learning in an intralogistics setting.

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, ...

Autonomous navigation of mobile robots in unknown environments ...

Reinforcement learning (RL) is effective for autonomous navigation tasks without prior knowledge of the environment.

Path Following for Autonomous Mobile Robots with Deep ... - MDPI

In this paper, we propose a novel approach that integrates the conventional pure pursuit algorithm with deep reinforcement learning for a nonholonomic mobile ...

Deep Reinforcement Learning for Autonomous Navigation of Mobile ...

Conventional autonomous navigation framework for mobile robots is highly modularized with various subsystems such as localization, perception, mapping, ...

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 ...

Deep Reinforcement Learning for Mapless Mobile Robot Navigation

With the recent technological progress, autonomous mobile robots are being deployed and used in different areas and scenarios. Conventional navigation ...

Deep Reinforcement learning for real autonomous mobile robot ...

This paper presents the proof of concept for autonomous self-learning robot navigation in an unknown environment for a real robot without a ...

A Comprehensive Review of Mobile Robot Navigation Using Deep ...

Nguyen Thi Thanh Van, et al.: Constructing an intelligent navigation system for autonomous mobile robot based on deep reinforcement learning.

Autonomous Navigation with Deep Reinforcement Learning Using ...

Comments359 · Python Reinforcement Learning using Stable baselines. · Deep Reinforcement learning for real autonomous mobile robot navigation · DQN ...

Deep Reinforcement Learning for Autonomous Mobile Robot ... - OUCI

Omoniwa, Communication-Enabled multi-agent decentralised deep reinforcement learning to optimise energy-efficiency in UAV-Assisted networks. In IEEE ...

Mobile robot sequential decision making using a deep ...

Recently, Deep Reinforcement Learning (DRL) has shown its promising capabilities in decision making problems. However, traditional DRL algorithms directly ...