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

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 ...

A Behavior-Based Mobile Robot Navigation Method with Deep...

A Behavior-Based Mobile Robot Navigation Method with Deep Reinforcement Learning. Open Webpage · Juncheng Li, Maopeng Ran, Han Wang, Lihua Xie.

A Behavior-Based Mobile Robot Navigation Method with Deep ...

The navigation task is decomposed using the behavior-based framework, which is capable of reducing the complexity of the learning process. The ...

A Behavior-Based Mobile Robot Navigation Method with Deep ...

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

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 ...

(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 ...

Mobile Robot Navigation based on Deep Reinforcement Learning ...

Learning to navigate in an unknown environment is a crucial capability of mobile robot. Conventional method for robot navigation consists of three steps, ...

A Behavior-Based Mobile Robot Navigation Method with ... - YouTube

... available. A Behavior-Based Mobile Robot Navigation Method with Deep Reinforcement Learning. 517 views · 4 years ago ...more. Juncheng Li. 31.

Mobile robot navigation based on Deep Reinforcement Learning

DRL is based on an end-to-end approach, transforming high-dimensional and continuous inputs into optimal policy to guide mobile robots, forming an advanced ...

Deep Reinforcement Learning Based Mobile Robot Navigation ...

Considering that the depth value detected by a binocular camera may be affected by light in a real environment, we supposed the method of sensor fusion which is ...

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

Xue, X., Li, Z., Zhang, D., Yan, Y.: A Deep Reinforcement Learning Method for Mobile Robot Collision Avoidance based on Double DQN. In 2019 IEEE ...

Mobile Robot Navigation Using Deep Reinforcement Learning - MDPI

Deep reinforcement learning for autonomous mobile robot navigation based on a deep Q-network (DQN) was proposed in [26]. The method is concerned with the ...

Deep Reinforcement Learning Based Mobile Robot Navigation

There is a growing trend of applying DRL to mobile robot navigation. In this paper, we review DRL methods and DRL-based navigation frameworks. Then we ...

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 ...

Navigation of Mobile Robots Based on Deep Reinforcement Learning

Lu, “Vision-based autonomous navigation approach for a tracked robot using deep reinforcement learning,” IEEE Sensors Journal, vol. 21, no. 2, ...

Research on Mobile Robot Navigation Method Based on Semantic ...

The solution combines a semantic laser SLAM system that utilizes deep learning and a trajectory interpolation algorithm. The paper first

Mobile Robot Navigation Using Learning-Based Method Based on ...

In addition, pedestrian behavior may be affected by the behavior of the robot. In this study, we apply a deep reinforcement learning method based on a novel ...

Intelligent mobile robot navigation in unknown and complex ... - Nature

The RL approach allows MR to identify the route based on past behavior ... A Mapless navigation method based on deep reinforcement learning 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.

Mobile Robot Navigation Using Deep Reinforcement Learning - OUCI

Quan, A novel mobile robot navigation method based on deep reinforcement learning, Int. J. Adv. Robot. Syst., № 17, с. 1729881420921672 https://doi.org ...