Biogeography-based combinatorial strategy for efficient autonomous underwater vehicle motion planning and task-time management
نویسندگان
چکیده
منابع مشابه
Biogeography-Based Combinatorial Strategy for Efficient AUV Motion Planning and Task-Time Management
Autonomous Underwater Vehicles (AUVs) are capable of spending long periods of time for carrying out various underwater missions and marine tasks. In this paper, a novel conflict-free motion planning framework is introduced to enhance underwater vehicle’s mission performance by completing maximum number of highest priority tasks in a limited time through a large scale waypoint cluttered operatin...
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An Autonomous Underwater Vehicle (AUV) should carry out complex tasks in a limited time interval. Since existing AUVs have limited battery capacity and restricted endurance, they should autonomously manage mission time and the resources to perform effective persistent deployment in longer missions. Task assignment requires making decisions subject to resource constraints, while tasks are assign...
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Among the underwater robotic systems that are currently available, remotely operated vehicles (ROVs) are the most commonly used underwater robotic systems. A ROV is an underwater vehicle that is controlled from a mother-ship by human operators. Sometimes a ROV is equipped with one or more robotic manipulators to perform underwater tasks. These robotic manipulators are also controlled by human o...
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Among the underwater robotic systems that are currently available, remotely operated vehicles (ROVs) are the most commonly used underwater robotic systems. A ROV is an underwater vehicle that is controlled from a mother-ship by human operators. Sometimes a ROV is equipped with one or more robotic manipulators to perform underwater tasks. These robotic manipulators are also controlled by human o...
متن کاملMotion Planning for Autonomous All-Terrain Vehicle
Motion planning for unmanned ground vehicle on rough terrain has been an active research topic for a long time. One of the main challenges comes from the complexity of the off-road field environment. In this project, we aimed to propose a motion planner for a full-size all-terrain vehicle (ATV) for the application of off-road autonomous navigation. More specifically, how to build a model-based ...
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ژورنال
عنوان ژورنال: Journal of Marine Science and Application
سال: 2016
ISSN: 1671-9433,1993-5048
DOI: 10.1007/s11804-016-1382-6