Subplanner Algorithm to Escape from Local Minima for Artificial Potential Function Based Robotic Path Planning-Reference-Cited by-同舟云学术

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Subplanner Algorithm to Escape from Local Minima for Artificial Potential Function Based Robotic Path Planning

Published:2018-12-31 Issue:4 Volume:18 Page:263-275
ISSN:1598-2645
Container-title:INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
language:en
Short-container-title:IJFIS

Author:

Yoon Han Ul,Lee Dong-Wook

Publisher

Korean Institute of Intelligent Systems

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Logic,Signal Processing

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. A review of the literature on fuzzy-logic approaches for collision-free path planning of manipulator robots;Artificial Intelligence Review;2022-09-04

2. Active Disturbance Rejection Terminal Sliding Mode Control for Tele-Aiming Robot System Using Multiple-Model Kalman Observers;Mathematics;2022-04-11

3. A Bidirectional Interpolation Method for Post-Processing in Sampling-Based Robot Path Planning;Sensors;2021-11-08

4. Investigation of tool chatter using local mean decomposition and artificial neural network during turning of Al 6061;Soft Computing;2021-05-11

5. Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning;Sensors;2021-01-06

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