- Mobile Robot Navigation based on Deep Reinforcement Learning🔍
- Deep reinforcement learning based mobile robot navigation🔍
- Mobile Robot Navigation Using Deep Reinforcement Learning🔍
- Deep Reinforcement Learning Based Mobile Robot Navigation🔍
- Robot Navigation with Map|Based Deep Reinforcement Learning🔍
- Deep Reinforcement Learning for Autonomous Mobile Robot ...🔍
- reiniscimurs/DRL|robot|navigation🔍
- Deep Reinforcement Learning in Mobile Robot Navigation Tutorial🔍
Mobile robot navigation based on Deep Reinforcement Learning
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 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 ...
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 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 ...
Robot Navigation with Map-Based Deep Reinforcement Learning
This paper proposes an end-to-end deep reinforcement learning approach for mobile robot navigation with dynamic obstacles avoidance.
Mobile Robot Navigation based on Deep Reinforcement Learning
Through D3QN algorithm, mobile robot can learn the environment knowledge gradually through its wonder and learn to navigate to the target destination ...
Deep Reinforcement Learning for Autonomous Mobile Robot ...
The four requirements for mobile robot navigation are as follows: perception, localization, planning a path and controlling movement. Numerous ...
(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.
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 in Mobile Robot Navigation Tutorial
The implementation of twin-delayed deep deterministic policy gradient (TD3) architecture for learning mobile robot motion with Pytorch and ROS Noetic in python.
(PDF) A novel mobile robot navigation method based on deep ...
This article proposes a method based on deep reinforcement learning and recurrent neural network, which combines double net and recurrent neural network ...
Deep Reinforcement Learning for Mapless Mobile Robot Navigation
This limits the overall use of mobile robots in dynamic settings. In this research, we investigate the end-to-end learning-based approach using vision and ...
A Comprehensive Review of Mobile Robot Navigation Using Deep ...
Finally, we offer insights into the evolution of navigation based on deep reinforcement learning, addressing the problems and providing ...
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.
Mobile Robot Navigation Based on Deep Reinforcement Learning ...
A navigation policy for a mobile robot equipped with a 2D range sensor based on the Proximal Policy Optimization of a stochastic approach is presented and ...
Deep Reinforcement Learning of Map-Based Obstacle Avoidance ...
Autonomous and safe navigation in complex environments without collisions is particularly important for mobile robots. In this paper, we propose an ...
ROS2 Deep Reinforcement Learning Robot Navigation (TurtleBot3)
... deep reinforcement learning for mobile robot navigation and obstacle avoidance. ... The platform is based on ROS2 and provides multiple ...
Intelligent mobile robot navigation in unknown and complex ... - Nature
Deep reinforcement learning (DRL) has been generated by fusing RL with a DNN. The traditional navigation method is currently being supplemented ...
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 ...
Mobile robot navigation based on Deep Reinforcement Learning
Compared to traditional navigation technology, applying. Deep Reinforcement Learning (DRL) to artificial intelligence agents to achieve mobile robot navigation ...