Robot Virtualization via Geo Analytics and AR
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Solution Overview
Problem
Conventional robots lack flexibility and are unable to adapt to environmental, application, or event changes, and do not provide services on-demand based on location, time, user preference, or emergency, nor can they leverage Geo analytics and augmented reality for service provision.
Innovation Solution
Robots, users, or central controllers use Geo analytics and augmented reality to search for, discover, and utilize robots, allowing for on-demand instantiation, modification, or termination of robots to provide services across various domains like medicine, agriculture, military, entertainment, and public safety, by establishing communications with servers to send location and availability information and receive virtual machines to perform tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional robots use dedicated hardware/software resources, then they can perform specific tasks reliably, but they lack flexibility and cannot adapt to environmental changes
Solution Approach 1:
The patent applies virtualization by creating virtual copies of robot functionality rather than physical robots. Virtual machines (VMs) encapsulate robot behaviors and capabilities as software instances that can be deployed on standard hardware platforms. This allows multiple robot functions to coexist on shared hardware resources, eliminating the need for dedicated hardware for each robot type while maintaining functional reliability through virtual machine isolation.
Solution Approach 2:
The system implements a universal robot platform where a single physical robot can execute multiple different virtual machines representing various robot functions. The hardware and operating system serve as a universal base that supports diverse VMs through standard interfaces, enabling one robot to perform cleaning, delivery, surveillance, or other tasks by simply loading different VMs without physical reconfiguration.
2Productivity
If robots are deployed for specific tasks, then task performance is reliable, but they cannot provide services on-demand based on location and user needs
Solution Approach 1:
The system dynamically provisions virtual machines based on real-time service requests rather than having static robot deployments. When a user needs a robot service at a specific location, the system dynamically creates or migrates appropriate VMs to available hardware platforms, assigns them to physical robots, and configures them for the requested task. This dynamic allocation enables on-demand service provision that adapts to changing location and user needs.
Solution Approach 2:
A central management system acts as an intermediary between service requests and physical robot execution. This intermediary layer receives service requests, determines appropriate virtual machine images, allocates hardware resources, manages robot task assignment, and coordinates execution. It translates high-level service demands into concrete robot actions while handling the complexity of resource allocation and task coordination.
3Reliability
If dedicated hardware is allocated for each robot function, then task execution is reliable, but resource utilization is inefficient
Solution Approach 1:
The patent merges multiple dedicated hardware platforms into a single shared hardware infrastructure. Instead of having separate robots for cleaning, delivery, and surveillance, the system combines hardware resources into a pooled platform that can be dynamically allocated to execute different virtual machine functions. This consolidation maintains task execution reliability through virtual machine isolation while significantly reducing the total quantity of hardware resources needed.
Data Source
AI summary
Robots, users, or a central controller may leverage Geo analytics and/or augmented reality to search for, discover, access and use robots. The robots may perform tasks to provide selective services on-demand within medicine, agriculture, military, entertainment, manufacturing, personal, or public safety, among other things.