Smart Robot Assistance Allocation With Metaverse Customization
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Solution Overview
Problem
Current technologies face challenges in effectively managing interactions between physical and virtual robots within smart communities, particularly in determining the most efficient allocation of resources and assistance in metaverse service interactions.
Innovation Solution
A system that includes processing systems capable of obtaining data from physical and virtual robots, determining the most efficient allocation of resources, and facilitating customization and communication between robots to aid in tasks, utilizing a network architecture that integrates metaverse and physical world resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system integrates multiple physical and virtual robots to provide assistance in smart communities, then the capability to perform tasks and provide support is improved, but the complexity of managing interactions and allocating resources among robots increases
Solution Approach 1:
The patent introduces a central system that acts as an intermediary to manage interactions between physical and virtual robots. This system receives requests from robots, determines assistance needs, and coordinates resource allocation, thereby simplifying the complexity of direct robot-to-robot coordination while enhancing overall interaction capability
Solution Approach 2:
The system is designed to handle multiple types of robots (physical and virtual) and multiple task types through a unified architecture. The same resource allocation and coordination mechanisms serve diverse robot kinds and assistance scenarios, improving versatility without proportionally increasing complexity
2Productivity
If the system dynamically allocates resources and customizes robots to aid in tasks, then task completion effectiveness is improved, but the time required for determination and customization increases
Solution Approach 1:
The system performs preliminary determination of assistance needs and robot customization before actual task execution. By pre-assessing requirements and preparing appropriate robot configurations in advance, the system reduces the time required during critical task moments while maintaining high effectiveness
Solution Approach 2:
The system enables robots to autonomously identify their own assistance needs and request appropriate resources without constant human intervention. This self-service capability reduces the time overhead for resource allocation by allowing robots to independently initiate and manage their assistance requests
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining first data indicative of a first location of a first physical robot operating in a smart community, obtaining second data indicative of a second location of a second physical robot operating in the smart community, obtaining third data indicative of a third location of a third physical robot operating in the smart community, obtaining a request for assistance from the first physical robot; and responsive to obtaining the request for assistance: determining a first time interval that would be required for the second physical robot to reach the first physical robot at the first location; determining a second time interval that would be required for the third physical robot to reach the first physical robot at the first location; determining which of the first time interval and the second time interval is smaller; in a first case that the first time interval is smaller, selecting as a selected physical robot the second physical robot; in a second case that the second time interval is smaller, selecting as the selected physical robot the third physical robot; facilitating a customization of the selected physical robot using one or more software services provided by a collection of servers, resulting in a customized physical robot; and directing the customized physical robot to the first location to aid the first physical robot in completing a task. Other embodiments are disclosed.