Optimal Path Planning for Mobile Robots in Complex Environments Based on the Gray Wolf Algorithm and Self-Powered Sensors
Author:
Affiliation:
1. School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin, China
2. School of Art and Design, Tianjin University of Technology, Tianjin, China
Funder
Research Program of Tianjin Educational Committee
Tianjin Municipal Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10251409/10107723.pdf?arnumber=10107723
Reference27 articles.
1. Grey wolf optimizer algorithm for the performance predetermination of variable speed self-excited induction generators
2. A novel remaining useful life prediction approach for superbuck converter circuits based on modified grey wolf optimizer-support vector regression;li;Energies,2017
3. Optimal reactive power dispatch problem using a two-archive multi-objective grey wolf optimizer
4. Optimal rotor blade control using Grey Wolf Optimizer for small signal stability of SCIG Wind Turbine
5. A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
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1. Research on formation navigation of USV based on improved A* and DWA fusion algorithm;Journal of Computational Methods in Sciences and Engineering;2024-08-14
2. Application of improved grey wolf model in collaborative trajectory optimization of unmanned aerial vehicle swarm;Scientific Reports;2024-07-27
3. A Study on Mobile Robot Path Planning in Constrained Environments Using an Enhanced RRT Algorithm;Smart Innovation, Systems and Technologies;2024
4. Collision-Free Tracking for Mobile Robot Based on Geometry Planning;2024
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