Deep Reinforcement Learning Based Mobile Robot Navigation

Deep Reinforcement Learning in Mobile Robot Navigation Tutorial

We will be using the ROS Gazebo simulator as the backbone, to execute the actions with the robot and collect the environment observations.

Autonomous Navigation by Mobile Robot with Sensor Fusion Based ...

We introduce a self-exploration and navigation approach based on a deep reinforcement learning framework, aimed at resolving the navigation challenges of ...

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

RL-AKF: An adaptive kalman filter navigation algorithm based on reinforcement learning for ground vehicles. Remote Sensing, 12(1704), 25. Hewawasam, H. S. (2022) ...

Deep reinforcement learning based socially aware mobile robot ...

(2020) Deep reinforcement learning based socially aware mobile robot navigation framework. In: 7th NAFOSTED Conference on Information and Computer Science, NICS ...

Autonomous Navigation by Mobile Robot with Sensor Fusion Based ...

With the rapid evolution of artificial intelligence technology, deep reinforcement learning (DRL) algorithms have demonstrated considerable ...

A behavior-based mobile robot navigation method with deep ...

Abstract: Deep reinforcement learning-based mobile robot navigation has attracted some recent interest. In the single-agent case, a robot can learn to navigate ...

Research on Autonomous Mobile Robot Navigation Technology ...

mobile robotics. 4. Deep Reinforcement Learning Based Mobile Robot Navigation: A Review. 4.1. Core Academic Contribution. The paper by Kai Zhu and Tao Zhang ...

End-to-End Mobile Robot Navigation using a Residual Deep ...

End-to-End Mobile Robot Navigation using a Residual Deep Reinforcement Learning in Dynamic Human Environments ... In this paper, we report an architecture based ...

Autonomous Mobile Robot Navigation in 3D Rough Terrain using ...

This thesis presents a rough terrain navigation framework developed in simulation using deep reinforcement learning and a novel sim-to-real pipeline to overcome ...

Consensus-based deep reinforcement learning for mobile robot ...

To tackle this issue, we propose a consensus-based deep reinforcement learning (DRL) algorithm for multiple robots to perform mapless navigation ...

Dynamically Feasible Deep RL Policy for Robot Navigation among ...

We present a novel Deep Reinforcement Learning (DRL) based policy to compute dynamically feasible and spatially aware velocities for a robot ...

Learning Navigation Policies for Mobile Robots in Deep ...

Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning. Sensors 20, 17 (2020), 4836. Crossref.

Robot Navigation in Crowded Environments Using Deep ...

Our deep reinforcement learning-based approach allows a robot to navigate autonomously through a real-world scenario including pedestrians.

Mobile Robot Navigation Using Deep Reinforcement Learning - OUCI

Learning how to navigate autonomously in an unknown indoor environment without colliding with static and dynamic obstacles is important for mobile robots.

Sensor-Based Mobile Robot Navigation via Deep Reinforcement ...

We propose a novel model for mobile robot navigation using deep reinforcement learning. In our navigation tasks, no information about the environment is ...

Highlights - Universal Wiser Publisher

lNovel deep reinforcement learning methods for navigation/path planning. l ... lReinforcement learning based methods for large-scale mobile robot navigation.

Learning Mobile Robot Navigation in the Dense Crowd with Deep ...

Sarl: Deep reinforcement learning based human-aware navigation for mobile robot in indoor environments. In 2019 IEEE International Conference on Robotics.

Deep reinforcement learning-aided autonomous navigation with ...

To shorten training time and prevent mobile robots from getting stuck and spinning around, we design a new robot autonomous navigation framework ...

Deep reinforcement learning for shared control of mobile robots

Furthermore, to accelerate the training process and protect the robot, a navigation demonstration policy and a safety guard are developed. A ...

Mobile Robot Collision Avoidance Based on Deep Reinforcement ...

Learning (DRL) has become increasingly important for collision avoidance and navigation in mobile robotics. This approach allows agents to ...