- Deep reinforcement learning based mobile robot navigation🔍
- Deep Reinforcement Learning Based Mobile Robot Navigation🔍
- Mobile Robot Navigation based on Deep Reinforcement Learning🔍
- Mobile Robot Navigation Using Deep Reinforcement Learning🔍
- reiniscimurs/DRL|robot|navigation🔍
- Deep Reinforcement Learning|Based Mapless Crowd Navigation ...🔍
- Deep Reinforcement Learning in Mobile Robot Navigation Tutorial🔍
- Robot Navigation with Map|Based Deep Reinforcement Learning🔍
Deep Reinforcement Learning Based Mobile Robot Navigation
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 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 ...
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.
Mobile Robot Navigation Using Deep Reinforcement Learning - MDPI
For autonomous mobile robot navigation in an unknown environment, the process of detecting the target object is first carried out using a deep neural network ...
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, ...
Deep Reinforcement Learning-Based Mapless Crowd Navigation ...
Computer Science > Robotics · Title:Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile ...
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.
(PDF) Mobile Robot Navigation Using Deep Reinforcement Learning
The DQN model is updated with randomly sampled experiments from ERB. D2QN and D3QN methods, as value-based algorithms, were employed for dynamic path planning ...
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.
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 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 ...
Deep Reinforcement Learning of Map-Based Obstacle Avoidance ...
In this paper, we propose an end-to-end deep reinforcement learning method for mobile robot navigation with map-based obstacle avoidance.
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 ...
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 ...
A Behavior-Based Mobile Robot Navigation Method with Deep ...
Deep reinforcement learning-based mobile robot navigation has attracted some recent interest. In the single-agent case, a robot can learn to navigate ...
Deep reinforcement learning based mobile robot navigation: A review
In this paper, we review DRL methods and DRL-based navigation frameworks. Then we systematically compare and analyze the relationship and differences between ...
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 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 ...
Reinforcement based mobile robot navigation in dynamic environment
In this paper, a new approach is developed for solving the problem of mobile robot path planning in an unknown dynamic environment based on Q-learning.
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 ...