A Novel Efficient Task-Assign Route Planning Method for AUV Guidance in a Dynamic Cluttered Environment
April 09, 2016 Β· Declared Dead Β· π IEEE Congress on Evolutionary Computation
"No code URL or promise found in abstract"
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Authors
Somaiyeh Mahmoud Zadeh, David M. W. Powers, AmirMehdi Yazdani
arXiv ID
1604.02524
Category
cs.RO: Robotics
Citations
36
Venue
IEEE Congress on Evolutionary Computation
Last Checked
6 months ago
Abstract
Promoting the levels of autonomy facilitates the vehicle in performing long-range operations with minimum supervision. The capability of Autonomous Underwater Vehicles (AUVs) to fulfill the mission objectives is directly influenced by route planning and task assignment system performance. The system fives the error of "Bad character(s) in field Abstract" for no reason. Please refer to manuscript for the full abstract
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