Smart Community Robot Transport With Physical and Virtual Scheduling
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Solution Overview
Problem
Existing systems lack an efficient method for intelligent transport of physical or virtual robots between smart homes and smart communities, limiting the sharing and utilization of robotic services.
Innovation Solution
A system that determines the need for robotic services within smart communities, identifies suitable robots, and schedules either physical or virtual transport using a processing system that communicates with robot transport controllers or radio access networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If physical transport of robots between smart homes is implemented, then robot sharing capability is improved, but system complexity and transport coordination overhead increase
Solution Approach 1:
A transport controller is introduced as an intermediary component that manages robot transport between smart homes. The controller receives transport requests, determines optimal transport methods (physical or virtual), and coordinates the actual transport execution. This intermediary abstracts the complexity of inter-home robot sharing, allowing individual homes to benefit from robot sharing without directly managing the complex coordination logistics.
2Productivity
If virtual transport of robots is implemented, then service sharing efficiency is improved, but robot reconfiguration complexity increases
Solution Approach 1:
Virtual transport creates a functional copy of the robot's service capability rather than physically moving the actual robot. When a robot is virtually transported to another smart home, the robot's configuration, skills, and service capabilities are replicated or accessed remotely, allowing the receiving home to utilize the robot's services without the physical robot being present. This copying approach enables rapid service sharing while the system manages the reconfiguration complexity through automated processes.
Solution Approach 2:
The system performs preliminary configuration and preparation actions before virtual transport is executed. The transport controller pre-configures the receiving environment, prepares necessary software modules, and validates compatibility requirements before initiating virtual transport. This preliminary action ensures that when virtual transport occurs, the robot can be quickly reconfigured and deployed, minimizing the complexity burden during actual service delivery.
3Speed
If automated robot transport scheduling is implemented, then service delivery speed is improved, but control system complexity increases
Solution Approach 1:
The transport controller implements feedback mechanisms that monitor robot availability, transport status, and service delivery outcomes in real-time. Based on this feedback, the system dynamically adjusts transport scheduling decisions, optimizes transport routes, and re分配s robot resources. The feedback loop enables automated scheduling to respond to changing conditions without requiring complex manual intervention, maintaining fast service delivery while managing control complexity through adaptive decision-making.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method in which a processing system determines that performance of a service is required at a first location in a smart community; identifies a robot to be transported, and determines whether physical transport or virtual transport is to be performed for the robot. If physical transport is to be performed, the system initiates communication with a robot transport controller to schedule the physical transport to the first location from a different second location. If virtual transport is to be performed, the processing system initiates communication with a radio access network (RAN) to schedule the virtual transport; the virtual transport includes configuring the robot at the first location. Other embodiments are disclosed.