Robot Motion Planning Based on Improved RRT Algorithm and RBF Neural Network Sliding-Reference-Cited by-同舟云学术

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Robot Motion Planning Based on Improved RRT Algorithm and RBF Neural Network Sliding

Published:2023 Issue: Volume:11 Page:121295-121305
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cao Menglong¹,Zhou Xinjie¹^ORCID,Ju Yunpeng¹^ORCID

Affiliation:

1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China

Funder

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10296895.pdf?arnumber=10296895

Reference26 articles.

1. UAV Trajectory Planning for Complex Open Storage Environments Based on an Improved RRT Algorithm

2. Path Planning Algorithm Using the Hybridization of the Rapidly-Exploring Random Tree and Ant Colony Systems

3. Trajectory Tracking Control Using Fractional-Order Terminal Sliding Mode Control With Sliding Perturbation Observer for a 7-DOF Robot Manipulator

4. A real-time path planning algorithm for cable-driven parallel robots in dynamic environment based on artificial potential guided RRT

5. Hybrid RRT: A Semi-Dual-Tree RRT-Based Motion Planner

Cited by 1 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. Route planning of mobile robot based on improved RRT star and TEB algorithm;Scientific Reports;2024-04-18

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