Mobile Robot Evacuation Zones for Autonomous Conflict-Free Routing
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Solution Overview
Problem
Existing systems for evacuating mobile robots from confined areas are inefficient, as they rely on manual intervention and lack autonomous coordination, leading to suboptimal resource allocation and navigation, especially in shared spaces with limited visibility or during emergencies.
Innovation Solution
A system and method that define individual evacuation zones, allowing a robot management system to receive alarms and autonomously direct mobile robots equipped with sensors to evacuate specific zones quickly, using wireless communication to guide them to alternative locations outside the evacuation area, optimizing resource allocation and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots operate autonomously in shared spaces without coordinated resource allocation, then each robot can operate independently, but aggregate wait time increases and navigation efficiency decreases
Solution Approach 1:
The system performs preliminary actions by having robots declare their intended future positions and actions in advance. The robot management system receives these declarations and proactively identifies potential conflicts before they occur, allowing for preemptive coordination and resource allocation that prevents wait times rather than reacting to them afterward.
Solution Approach 2:
The system implements continuous feedback loops where robots declare their intended actions, the management system processes these declarations and sends coordination commands back to robots, and robots execute adjusted trajectories. This closed-loop feedback mechanism enables real-time optimization of navigation paths and minimizes aggregate wait time through iterative coordination.
2Speed
If the system uses individual evacuation zones with autonomous coordination, then evacuation speed increases, but system complexity increases
Solution Approach 1:
The system divides the operational space into discrete evacuation zones and defines specific evacuation actions for each zone. This segmentation allows the complex evacuation problem to be broken down into manageable zone-level decisions, where robots only need to process information relevant to their current zone rather than the entire space, reducing individual robot complexity while maintaining overall system efficiency.
Solution Approach 2:
The robot management system serves multiple functions simultaneously: it acts as a communication hub for evacuation commands, a coordination engine for conflict resolution, and a navigation assistant for path planning. This multi-functionality consolidates what would otherwise require separate systems into a single centralized platform, managing complexity while enabling fast evacuation responses.
3Loss of time
If manual intervention is used for robot coordination, then system simplicity is maintained, but evacuation response time increases
Solution Approach 1:
The system enables self-service automation where robots autonomously declare their intended actions and the management system automatically processes conflicts and generates coordination commands without human intervention. This autonomous self-service mechanism dramatically reduces evacuation response time compared to manual coordination, while the modular architecture keeps implementation complexity manageable.
Data Source
AI summary
There is provided a system and method for evacuating one or more mobile robots from a confined area. The system and method involve one or more mobile robots equipped with sensors or receivers for receiving evacuation commands directing the one or more mobile robots to leave the evacuation area and enter a location outside the evacuation area.