Autonomous Course Correction for Real-Time Mission COA Updates
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Solution Overview
Problem
Current military course of action (COA) planning processes, such as those defined by the US Department of Defense, do not allow for real-time updates or adjustments during mission execution, limiting adaptability to dynamic changes such as asset attrition or unexpected events.
Innovation Solution
Implementing a Self-Healing Course of Action Revision (SCOAR) system that uses autonomous COA management, intelligence, surveillance, and reconnaissance data to dynamically assess and update COAs in real-time through iterative assessments, employing Markov Decision Processes and stochastic mathematical models to adjust asset allocations and generate new COAs as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional COA planning processes are used, then COA generation follows established procedures, but real-time updates during mission execution are not possible
Solution Approach 1:
The system transitions from static COA planning to dynamic real-time COA adjustment. The COA manager continuously receives sensor data, reassesses the situation, and updates COAs during mission execution, making the system adaptive to changing conditions rather than fixed at planning stage
Solution Approach 2:
The system implements continuous feedback loops where sensor data from the operational environment is fed back to the COA manager, which then adjusts COAs based on this feedback. This closed-loop control enables real-time adaptation while maintaining systematic decision-making processes
2Reliability
If real-time COA updates are implemented, then adaptability to unexpected events improves, but processing complexity and computational requirements increase
Solution Approach 1:
The COA management system is segmented into modular components: COA generator, COA manager, sensor interfaces, and execution modules. This segmentation allows independent optimization of each component and enables parallel processing of multiple COAs, reducing overall computational complexity while maintaining high reliability
Solution Approach 2:
Multiple COAs are generated and evaluated in advance before mission execution. The COA manager pre-assesses various scenarios and has ready-to-execute alternative COAs, which reduces real-time computational burden while ensuring reliable response to unexpected events
3Measurement precision
If continuous assessment of COA activities is performed, then COA accuracy improves, but time consumption for updates increases
Solution Approach 1:
The system performs periodic reassessment of COA activities at defined intervals and at trigger events, rather than continuous assessment. This periodic action maintains sufficient assessment accuracy while minimizing time consumption and allowing rapid COA updates when needed
4Adaptability or versatility
If multiple COAs are generated and managed, then operational flexibility improves, but system complexity increases
Solution Approach 1:
The COA manager dynamically generates, evaluates, and switches between multiple COAs based on real-time conditions. This dynamic multi-COA approach provides operational flexibility by having multiple ready options while using systematic evaluation criteria to manage the complexity of handling multiple courses of action
Data Source
AI summary
Discussed herein are devices, systems, and methods for autonomous, dynamic course of action (COA) generation and management. A method can include issuing a communication to one or more assets indicating operations of a first COA to be performed, receiving, by an intelligence, surveillance, and reconnaissance (ISR) device, data indicating an unexpected event, not accounted for in the first COA, has occurred, in response to the data indicating the unexpected event, identifying a second COA or a portion of a second COA that satisfies a mission of the first COA and accounts for the unexpected event, and issuing a second communication to the one or more assets indicating one or more operations of the second COA to be performed.