A Novel Efficient Task-Assign Route Planning Method for AUV Guidance in a Dynamic Cluttered Environment
This addresses the challenge of enabling AUVs to operate autonomously in complex underwater settings, which is incremental as it builds on existing route planning methods.
The paper tackles the problem of route planning and task assignment for Autonomous Underwater Vehicles (AUVs) in dynamic cluttered environments, resulting in an efficient method that improves performance, though no concrete numbers are provided in the 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