Toward Safer and Energy Efficient Global Trajectory Planning of Self-Guided Vehicles for Material Handling System in Dynamic Environment
Author:
Affiliation:
1. Institut de Recherche sur l’Hydrogène, Université de Québec à Trois-Rivières, Trois-Rivières, QC, Canada
Funder
Noovelia Research Chair in Intelligent Navigation of Autonomous Industrial Vehicles and Engineering Research Council of Canada
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/ielx7/6287639/10005208/10078160.pdf?arnumber=10078160
Reference47 articles.
1. Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field
2. Efficient trajectory optimization using a sparse model
3. Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment
4. Implementation and Reconfiguration of Robot Operating System on Human Follower Transporter Robot
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