Context-Aware Dynamic Asset Allocation for Maritime Interdiction Operations

Sidoti, David; Pattipati, Krishna R.; Han, Xu; Zhang, Lingyi; Balasingam, Balakumar; Ayala, Diego Fernando Martínez; Mishra, Manisha; Sankavaram, Muni Sravanth; Kellmeyer, David; Hansen, James A.

doi:10.1109/tsmc.2017.2767568

IEEE Trans. Syst. Man Cybern, Syst.

2020

DOI: 10.1109/tsmc.2017.2767568

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Context-Aware Dynamic Asset Allocation for Maritime Interdiction Operations

David Sidoti

Krishna R. Pattipati

Xu Han

et al.

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Cited by 7 publications

References 18 publications

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Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks

Bays,

Wettergren,

Shin

et al. 2024

J Intell Robot Syst

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Search operations performed by adaptive autonomous maritime vehicles have been a topic of considerable interest for many years. Such operations require carefully scheduled coordination of multiple vehicles performing search tasks across the region of interest. Due to the inherent uncertainty of the maritime environment, however, an initially planned search schedule may not be maintained if the vehicles have significant capability to adapt their tasks to match the environment they detect in real time. We propose a multi-vehicle adaptive algorithm for dynamic evaluation and elastic re-planning of variable-length tasks commonly found in the maritime environments. In adaptive evaluation and re-planning problems, a set of tasks are initially planned for execution by adaptive, autonomous search vehicles. Tasks are allocated to search vehicles under a pre-defined schedule based on prior knowledge and desired outcome. Because of the vehicles’ autonomy and reactivity to in situ conditions such as environment or target pose, the precise duration and actions required by each task are unknown a priori. We develop a hidden Markov model (HMM) for propagating task estimates, coupled with a quadratic-programming-based elastic re-scheduler. The result is an integrated estimate-and-schedule adaptation scheme that quickly and efficiently re-plans the vehicles’ schedules based on in situ observations. The numerical simulation results show that this novel HMM approach decreases avoidable schedule variation by over a factor of two compared to existing methods.

show abstract

Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks

Bays,

Wettergren,

Shin

et al. 2024

J Intell Robot Syst

View full text Add to dashboard Cite

show abstract

An integrated scheduling method for AGV routing in automated container terminals

Yang

Zhong

Dessouky

et al. 2018

Computers & Industrial Engineering

165

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A review of approximate dynamic programming applications within military operations research

Rempel

Cai²

2021

Operations Research Perspectives

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Context-Aware Dynamic Asset Allocation for Maritime Interdiction Operations

Cited by 7 publications

References 18 publications

Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks

Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks

An integrated scheduling method for AGV routing in automated container terminals

A review of approximate dynamic programming applications within military operations research

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