Artificial Potential Field Incorporated Deep-Q-Network Algorithm for Mobile Robot Path Prediction-Reference-Cited by-同舟云学术

Artificial Potential Field Incorporated Deep-Q-Network Algorithm for Mobile Robot Path Prediction

Published:2023 Issue:1 Volume:35 Page:1135-1150
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Sivaranjani A.,Vinod B.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v35n1/48174/pdf

Reference33 articles.

1. Optimization of mobile robot navigation using hybrid dragonfly-cuckoo search algorithm;Muthukumaran;Tierärztliche Praxis,2020

2. Research on dynamic path planning of wheeled robot based on deep reinforcement learning on the sloping ground;Wang;Journal of Robotics,2020

3. Evaluation of ROS and gazebo simulation environment using turtlebot3 robot;Dilip Raje;Proc. 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications,2020

4. L. Tai and M. Liu, “Towards cognitive exploration through deep reinforcement learning for mobile robots,” arXiv preprint arXiv:1610.01733, 2016.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating deep reinforcement learning and improved artificial potential field method for safe path planning for mobile robots;Robotic Intelligence and Automation;2024-08-30

2. Smart line planning method for power transmission based on D3QN‐PER algorithm;IET Control Theory & Applications;2024-06-09

3. Path Planning for Autonomous Mobile Robot Using Intelligent Algorithms;Technologies;2024-06-03

4. DRL-based Dynamic Channel Access and SCLAR Maximization for Networks under Jamming;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

5. Path Planning of Mobile Robot Based on Deep Reinforcement Learning and Improved Artificial Potential Field;2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE);2023-12-15