AI Robot Coordination for Dynamic Deployment Area Handover
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Solution Overview
Problem
Artificial intelligence robots in airports and multiplexes face challenges in providing guidance services effectively when the density of people increases, as they are typically limited to specific deployment areas and cannot actively cope with the need for additional guidance.
Innovation Solution
An artificial intelligence server that determines routes and operations for robots to move out of their deployment areas, allowing them to dynamically adjust their deployment zones and operations by transferring tasks between adjacent robots, thereby maintaining service coverage and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robots are limited to fixed deployment areas, then device complexity is reduced and ease of operation is improved, but adaptability deteriorates when people density increases
Solution Approach 1:
The patent implements dynamic deployment areas where robots can move beyond their assigned zones when needed. The server dynamically adjusts robot routes and deployment boundaries based on real-time people density detection, allowing robots to adapt to high-density situations while the system manages the complexity through centralized control.
Solution Approach 2:
The service area is divided into multiple deployment areas assigned to different robots. When density increases in a particular area, the system can selectively activate additional robots from adjacent deployment areas to provide guidance services, enabling scalable adaptability without requiring all robots to be constantly active.
2Productivity
If robots remain in their assigned deployment areas, then service coverage is maintained, but productivity decreases when additional guidance is needed in high-density areas
Solution Approach 1:
The system pre-establishes multiple deployment areas and routes for robots. When high density is detected, robots can immediately transition to pre-planned routes and deployment areas without requiring real-time path calculation, reducing the time loss associated with relocation while increasing guidance service capacity.
Solution Approach 2:
The server acts as an intermediary that coordinates robot movements and task transfers. When a robot needs to relocate to address high-density areas, the server manages the handover of guidance tasks between robots, minimizing service interruption and reducing the effective time loss from relocation.
3Adaptability or versatility
If robots dynamically adjust deployment areas, then adaptability improves, but device complexity increases due to task transfer coordination
Solution Approach 1:
All robots are equipped with identical capabilities and can perform the same guidance functions regardless of their deployment area. This universality simplifies the task transfer mechanism, as any robot can assume any guidance task without requiring specialized configurations, reducing the complexity of coordination while maintaining dynamic adaptability.
Data Source
AI summary
An artificial intelligence server for controlling a plurality of robots includes a communication unit and a processor. The communication unit is configured to communicate with the plurality of robots. The processor is configured to receive information including an operation and a deployment area corresponding to each of the plurality of robots, determine a first route corresponding to a first operation corresponding to a first robot among the plurality of robots, if the first operation corresponding to the first robot includes an operation for moving out of a first deployment area corresponding to the first robot, determine an area on the determined first route, in which at least one robot is deployed, determine an associated operation between the first robot and a second robot, wherein the second robot is deployed in the determined area, and update a second operation corresponding to the second robot or a second deployment area corresponding to the second robot, based on the determined associated operation.