A Novel Efficient Task-Assign Route Planning Method for AUV Guidance in a Dynamic Cluttered Environment

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

7 pages, 8 figures, conference paper, IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada. July 2015

References in corpus (1)

• Optimal Routing Strategies for Autonomous Underwater Vehicles in Time-Varying Environment

Cited by in corpus (7)

• Differential Evolution for Efficient AUV Path Planning in Time Variant Uncertain Underwater Environment
• AUV Rendezvous Online Path Planning in a Highly Cluttered Undersea Environment Using Evolutionary Algorithms
• Biogeography-Based Combinatorial Strategy for Efficient AUV Motion Planning and Task-Time Management
• Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission
• An Efficient Hybrid Route-Path Planning Model For Dynamic Task Allocation and Safe Maneuvering of an Underwater Vehicle in a Realistic Environment
• A Hierarchal Planning Framework for AUV Mission Management in a Spatio-Temporal Varying Ocean
• An Autonomous Reactive Architecture for Efficient AUV Mission Time Management in Realistic Severe Ocean Environment