Group-Aware Robot Route Guidance Using User Profile Priorities
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Solution Overview
Problem
Conventional robots fail to provide optimal route guidance considering the features of multiple users within a group, leading to suboptimal navigation experiences.
Innovation Solution
A robot equipped with a camera, driving unit, and processor that acquires profile information of individual users, identifies group features, and adjusts navigation based on group type, priority, and preferred waypoints to optimize route guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional robot provides route guidance based on general map data, then it can provide basic navigation service, but it cannot identify optimal routes considering individual user features or group features
Solution Approach 1:
The system segments users into individual profiles with specific features (mobility status, age, preferences) and groups of users with shared characteristics. This segmentation allows the robot to analyze and provide customized route guidance for each user and group combination, resolving the contradiction between adaptability and complexity by organizing data into manageable segments.
Solution Approach 2:
The system performs preliminary actions by pre-acquiring and storing profile information of users and group feature information before providing route guidance. This includes pre-identifying mobility statuses, age groups, and preferences, which enables the robot to quickly provide optimized routes without real-time complexity, thus improving adaptability while managing system complexity.
2Adaptability or versatility
If a robot acquires and processes profile information of multiple users and group feature information, then it can provide optimized route guidance considering group features, but it increases information processing requirements and system complexity
Solution Approach 1:
The system merges individual user profile information into consolidated group feature information, identifying common characteristics and preferences of users within a group. This merging reduces information processing complexity by creating aggregated group profiles while maintaining the ability to provide customized route guidance, thus resolving the contradiction between adaptability and processing complexity.
Solution Approach 2:
The system changes parameters by transforming detailed individual profile data into simplified group feature parameters (group type, common preferences, priority levels). This parameter transformation reduces information processing requirements while preserving essential customization capabilities, enabling group-based route optimization without proportionally increasing system complexity.
3Ease of operation
If a robot provides customized route guidance based on user profile information and group features, then user convenience and satisfaction improve, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing user profile information and group feature information in advance. This includes pre-identifying mobility statuses, age groups, and preferences, which enables the robot to quickly retrieve and apply relevant information during route planning, thus improving user convenience while minimizing the time loss during actual route guidance.
Solution Approach 2:
The system uses copying by creating and storing template profiles for different user types and group configurations. Once profile information is acquired and processed, it is copied and stored for future use, allowing the robot to quickly reference pre-analyzed data rather than reprocessing information each time, thereby reducing route planning time while maintaining customized guidance quality.
Data Source
AI summary
A robot is provided. The robot includes a camera, a driving unit, and a processor. The robot is configured to, if a plurality of users included in one group are identified in an image captured via the camera, acquire profile information of each of the plurality of users, based on the profile information, acquire group feature information including group type information of the group, priority information of the plurality of users, and preferred waypoint information of the one group, and control the driving unit to perform a route guidance function based on the group feature information and destination information.