Personal Assistant Control System for User State Continuity
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Solution Overview
Problem
Existing personal assistant robots do not effectively transition their support as users grow, as they are typically replaced during significant life changes such as from infancy to adulthood, lacking a systematic approach to maintain continuity in user state estimation and assistance.
Innovation Solution
A personal assistant control system that includes multiple personal assistants with different sensor groups, connected via a network, allowing a server to estimate and maintain user state information across transitions, using common sensors to bridge periods and adapt responses based on learned interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal assistant robots are replaced during significant life changes (e.g., from infancy to adulthood), then the robot can be optimized for the current life stage, but continuity in user state estimation and assistance is lost
Solution Approach 1:
A cloud server acts as an intermediary between multiple personal assistant robots deployed at different life stages. The server stores user state information and common sensor data, enabling seamless transition of information when robots are replaced. This mediator ensures continuity of user state estimation across device generations without requiring the new robot to restart from scratch.
Solution Approach 2:
The system design makes user state estimation and data storage universal functions that serve all robots regardless of their specific life-stage specialization. Common sensors (camera, microphone, location) are used across all robot types, creating a universal data foundation that any robot can access through the cloud server, enabling both specialization and continuity.
2Adaptability or versatility
If multiple personal assistants with different sensor groups are deployed for different life stages, then specialized support can be provided for each stage, but system complexity increases
Solution Approach 1:
The system segments functionality by separating robot-specific specialized sensors from universal common sensors. Each life-stage robot includes only the sensors needed for its specific function, while common sensors (camera, microphone, location) are shared across all robots through the cloud server. This segmentation reduces individual robot complexity while maintaining specialized support.
Solution Approach 2:
The cloud server merges data from multiple sensor groups across different robots into a unified user state representation. By combining information from infancy robots, childhood robots, and adult robots in the cloud, the system achieves comprehensive user understanding without requiring each individual robot to maintain the full complex sensor suite.
3Loss of information
If common sensors are used to bridge different periods, then user state estimation continuity is maintained, but the ability to detect stage-specific attributes is reduced
Solution Approach 1:
The sensor system is segmented into common sensors (camera, microphone, location) that provide universal data across all life stages, and specialized sensors specific to each stage (e.g., developmental markers for children, health metrics for adults). Both segments work together: common sensors ensure continuity while specialized sensors provide precise stage-specific measurements.
Solution Approach 2:
The system adds a temporal dimension to sensor data by storing and analyzing measurements across different life stages in the cloud server. This temporal dimension allows the system to recognize patterns and transitions, maintaining continuity while adapting to stage-specific characteristics through historical data comparison.
Data Source
AI summary
A personal assistant control system which enables a robotic personal assistant to properly support a user according to the user's growth, includes: a first personal assistant (PA) 1 used in a first period to acquire information from a first sensor group; a second PA 2 used in a second period to acquire information from a second sensor group; and a server 5 connected to the first PA 1 and the second PA 2 via a network and configured to estimate a state of a user 3 based on information acquired from the first or second sensor group. In a third period T3 bridging the first period T1 and the second period T2, the server estimates the state of the user 3 based on information acquired from common sensors which are specific types of sensors included in the first and second sensor groups and configured to acquire common attributes.