Smart Home Robot Coordination With Dynamic Task Reprogramming
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Solution Overview
Problem
Existing smart home and smart business systems lack efficient inter-networking and collaboration among devices, leading to suboptimal task performance and resource utilization.
Innovation Solution
A system is implemented that includes a controller to manage robots and IoT devices, assigning privileges and priorities based on user preferences and policies, enabling dynamic reprogramming to address specific situations and optimize task performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If devices operate independently without inter-networking, then device simplicity is maintained, but task performance and resource utilization deteriorate
Solution Approach 1:
The system is segmented into multiple hierarchical levels: individual devices, device groups, community level, and city level. Each level manages specific functions independently, allowing devices to remain relatively simple while achieving complex coordinated task performance through the hierarchical structure.
Solution Approach 2:
Controllers act as intermediaries between devices and the central coordination system. The controllers manage device communication and coordination, enabling improved task performance without requiring direct complex interconnections between all devices.
2Adaptability or versatility
If devices are configured with fixed functions, then device reliability is improved, but adaptability to different situations deteriorates
Solution Approach 1:
The system implements dynamic reprogramming capabilities that allow devices to change their functions and behaviors based on detected situations and assigned tasks. Devices can be dynamically assigned to different task forces and reprogrammed with appropriate skills, providing adaptability while maintaining operational reliability through controlled changes.
Solution Approach 2:
The system changes operational parameters of devices dynamically, including reprogramming device skills, changing task assignments, and adjusting device priorities. These parameter changes enable devices to adapt to different situations while maintaining reliable operation within each configured state.
3Ease of operation
If centralized control manages all devices, then coordination efficiency is improved, but system scalability and responsiveness to local situations deteriorate
Solution Approach 1:
Control authority is segmented across multiple hierarchical levels with local controllers managing device groups and a central controller managing overall coordination. This segmentation enables fast local responses to situations while maintaining efficient centralized coordination for resource allocation and cross-group tasks.
Solution Approach 2:
The system performs preliminary actions by pre-configuring device skills, priorities, and group assignments before situations arise. When situations are detected, devices can be quickly reprogrammed and reassigned based on pre-established configurations, reducing response time while maintaining coordination efficiency.
4Productivity
If devices operate without dynamic reprogramming, then operational stability is maintained, but resource utilization and task optimization deteriorate
Solution Approach 1:
Devices automatically receive and execute reprogramming instructions based on detected situations and controller decisions. The system self-manages resource allocation and device reassignment without requiring manual intervention, improving resource utilization while keeping control complexity manageable through automated processes.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method in which a processing system configures one or more robots to perform tasks in an establishment, and assigns to the robots privileges and/or priorities in accordance with a policy. The method also includes detecting a situation in the establishment requiring performance of a task; facilitating the performance of the task by at least one of the robots; and dynamically reprogramming at least one of the robots in response to the situation to perform a specialized task to address the situation. Other embodiments are disclosed.