Mobile Hub Dispatch for Autonomous Unmanned Vehicle Tasks
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Solution Overview
Problem
The high operational costs and safety risks associated with requiring expert operators for remotely controlled machines in tasks such as search and rescue, policing, and military activities, due to the need for immediate human control, limit their efficient and safe deployment in hazardous environments.
Innovation Solution
The development of unmanned systems equipped with machine learning techniques that enable autonomous or collaborative decision-making, allowing them to perform tasks without immediate human control by determining objectives, selecting appropriate devices, and initiating tasks, thereby reducing the need for expert operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert operators remotely control machines for tasks like search and rescue, policing, and military activities, then task performance capability is improved, but operational costs and safety risks increase
Solution Approach 1:
The unmanned system performs tasks autonomously without requiring expert operators for real-time control. The system includes onboard sensors, processors, and machine learning models that enable it to independently detect targets, assess situations, and execute appropriate responses, thereby eliminating the need for expensive expert human operators while maintaining task performance capability
Solution Approach 2:
The patent replaces the mechanical control system requiring human operators with an autonomous control system based on sensors, processors, and machine learning algorithms. This substitution enables the unmanned system to perform complex tasks independently, reducing operational costs associated with expert human operators while maintaining or improving task performance
2Reliability
If expert operators remotely control machines in hazardous environments, then task performance is improved, but safety risks to human operators increase
Solution Approach 1:
The patent extracts the human operator from the control loop entirely, removing them from hazardous environments. The unmanned system operates autonomously in dangerous conditions such as disaster zones, conflict areas, or unstable terrains, eliminating safety risks to human operators while maintaining task performance through onboard autonomous decision-making capabilities
Solution Approach 2:
The unmanned system independently performs tasks in hazardous environments without requiring human intervention. Equipped with sensors, processors, and machine learning models, it autonomously detects threats, assesses situations, and executes tasks, thereby eliminating safety risks to human operators while maintaining task performance capability
3Productivity
If multiple unmanned systems operate autonomously with collaborative decision-making, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple unmanned systems into a collaborative network where they share sensor data, task information, and decision-making capabilities. This merging enables coordinated operations such as multi-vehicle search and rescue missions or synchronized surveillance, improving operational efficiency through enhanced situational awareness and divided task execution
Solution Approach 2:
The autonomous systems are designed with universal communication protocols and standardized interfaces that enable different types of unmanned vehicles (aerial, ground, water) to collaborate effectively. This multi-functionality allows diverse systems to work together on various task types without requiring specialized complex integration for each scenario
Data Source
AI summary
A method includes receiving, at a mobile hub device, communications including location-specific risk data and a task assignment. The method also includes generating an output indicating dispatch coordinates. The dispatch coordinates identifying a dispatch location from which to dispatch, from the mobile hub device, one or more unmanned vehicles to perform a task of the task assignment.