Probabilistic Mission Evaluation for Transparent UAV Clearance
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Solution Overview
Problem
Current mission design systems for unmanned aerial vehicles and other mobile entities lack transparency, adaptability, and the ability to handle complex mission conditions, failing to provide intuitive and dynamic solutions that can be adjusted by non-experts to reflect changing rules and preferences.
Innovation Solution
A method and system that utilize probabilistic logic programming to transform information into a symbolic representation, generating a probabilistic logic program that integrates agent, environment, and public body data, enabling intuitive and adaptive mission evaluation and clearance decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual feedback and evaluation methods are used for mission clearance, then operator control and decision-making are maintained, but the process is time-consuming and lacks adaptability to changing conditions
Solution Approach 1:
The patent introduces an intermediary system (the probabilistic logic program and automated evaluation module) that mediates between the operator's mission plan and the final clearance decision. This intermediary automatically evaluates mission plans against stored rules and conditions, providing rapid preliminary assessment while maintaining operator oversight for final approval, thus reducing clearance time without sacrificing reliability
Solution Approach 2:
The system enables self-service by allowing the mission planning system to automatically evaluate its own plans against predefined rules and conditions. The probabilistic logic program autonomously assesses whether mission plans satisfy required conditions, reducing dependency on manual operator evaluation for routine clearance decisions while maintaining accuracy
2Ease of manufacture
If pre-defined graphs and behavior trees are used for mission planning, then structured approach is provided, but the system lacks flexibility to handle complex boundary conditions and unforeseen scenarios
Solution Approach 1:
The patent implements dynamics by using probabilistic logic programs that can dynamically adapt to changing conditions and complex boundary scenarios. Unlike static pre-defined behavior trees, the probabilistic system can handle unforeseen situations by evaluating new conditions against stored rules and generating appropriate responses, maintaining both structure and flexibility
Solution Approach 2:
The system utilizes parameter changes by allowing the probabilistic logic program to adjust evaluation criteria and thresholds based on changing mission parameters and environmental conditions. This enables the system to maintain structured evaluation while adapting to complex and evolving boundary conditions through dynamic parameter adjustment
3Productivity
If mathematical optimization problems are used for mission planning, then numerical solutions can be obtained, but the approach is non-transparent to users and impossible to adjust for non-experts
Solution Approach 1:
The patent applies copying by creating a symbolic representation (probabilistic logic program) that copies and represents the mission planning problem in a human-readable format. This symbolic copy allows non-experts to understand, review, and adjust the planning logic without needing to solve complex mathematical optimization problems, maintaining efficiency while improving accessibility
Solution Approach 2:
The system substitutes the mechanical/mathematical optimization approach with a symbolic logic-based approach. Instead of requiring users to interact with complex numerical solvers and mathematical constraints, the system uses probabilistic logic programs that can be more intuitively understood and adjusted by non-experts, while still achieving optimization goals
4Loss of time
If automated air traffic control systems are used, then clearance decisions are made quickly, but the decision-making process is not transparent and cannot handle complex boundary conditions
Solution Approach 1:
The patent implements feedback by having the probabilistic logic program provide detailed evaluation results and reasoning traces back to the operator. This feedback mechanism maintains transparency by showing how clearance decisions are derived from stored rules and conditions, while still enabling rapid automated evaluation, thus preventing information loss about the decision-making process
Data Source
AI summary
The present invention relates to a system for evaluating a mission of a mobile entity. The system comprises a means for obtaining information on a planned trajectory, the mobile entity, mission requirements, environment and public body rules, a means for transforming the information into a symbolic, probabilistic representation to generate a probabilistic logic program, wherein facts are extracted from the information and systematically designated with names within the probabilistic logic program, and a means for generating an answer to the a probabilistic logic query based on the probabilistic logic program.