3,030 research outputs found
Identification of Risks in the Course of Managing the Deep Sea Archeological Projects Using Marine Robotics
An analysis is conducted of the basic risks that occur when managing the projects of deep-sea archeological research. It is proposed to consider possible risks of such projects in the form of a general set of risks that contains subsets of the identified and unidentified risks. Based on the generalization of existing experience of conducting underwater archaeological research and with regard to the peculiarities of their execution by using TV-controlled unmanned underwater vehicles, the main risks of such operations are identified. A classification of risk factors is proposed, which takes into account weather and hydrological conditions in the area of operations, peculiarities of the underwater situation, technological and technical provision of underwater archaeological research, possible obstacles from the navigation in the explored area and errors in geographical coordinates of fulfilled work, as well as the human factor. Additionally, environmental, organizational and financial risks, which the project team is aware of, are defined as directly related to planning the projects of deep-sea archeological research. A generalized risk register is developed of the projects\u27 deep-sea archaeological studies as theoretical foundation for designing the models of risk management and their quantitative evaluation when planning financial and temporal resources for such projects
A Hierarchal Planning Framework for AUV Mission Management in a Spatio-Temporal Varying Ocean
The purpose of this paper is to provide a hierarchical dynamic mission
planning framework for a single autonomous underwater vehicle (AUV) to
accomplish task-assign process in a limited time interval while operating in an
uncertain undersea environment, where spatio-temporal variability of the
operating field is taken into account. To this end, a high level reactive
mission planner and a low level motion planning system are constructed. The
high level system is responsible for task priority assignment and guiding the
vehicle toward a target of interest considering on-time termination of the
mission. The lower layer is in charge of generating optimal trajectories based
on sequence of tasks and dynamicity of operating terrain. The mission planner
is able to reactively re-arrange the tasks based on mission/terrain updates
while the low level planner is capable of coping unexpected changes of the
terrain by correcting the old path and re-generating a new trajectory. As a
result, the vehicle is able to undertake the maximum number of tasks with
certain degree of maneuverability having situational awareness of the operating
field. The computational engine of the mentioned framework is based on the
biogeography based optimization (BBO) algorithm that is capable of providing
efficient solutions. To evaluate the performance of the proposed framework,
firstly, a realistic model of undersea environment is provided based on
realistic map data, and then several scenarios, treated as real experiments,
are designed through the simulation study. Additionally, to show the robustness
and reliability of the framework, Monte-Carlo simulation is carried out and
statistical analysis is performed. The results of simulations indicate the
significant potential of the two-level hierarchical mission planning system in
mission success and its applicability for real-time implementation
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