Robot Guidance Display for Human-Optimal Route Feasibility
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Solution Overview
Problem
Guidance robots often guide individuals along routes different from the shortest path for humans due to differing travelable areas, increasing the walking burden and potentially reducing user satisfaction.
Innovation Solution
A control method for robots that calculates and compares person and robot travelable areas to determine a person's shortest route, adjusting guidance display formats to inform users of route possibilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot guides the person along the robot's shortest route, then the robot can reach the destination efficiently, but the person experiences increased walking burden due to route differences
Solution Approach 1:
The system dynamically adjusts the guidance route based on real-time comparison between robot travelable area and person movable area. The route calculation adapts to different mobility constraints, switching between robot-optimal routes and person-optimal routes to balance efficiency and ease of walking
Solution Approach 2:
The system introduces a new dimension of analysis by separately calculating and comparing routes from two different perspectives: robot shortest route and person shortest route. This dimensional separation allows the system to identify and communicate route differences, enabling informed guidance decisions
2Reliability
If the robot uses its own travelable area information for route calculation, then the robot can navigate to the destination, but the guidance may not be optimal for the person's movement capabilities
Solution Approach 1:
The system segments the route calculation process into two independent calculations: one based on robot travelable area and another based on person movable area. This segmentation allows each calculation to optimize for its specific constraints while enabling comparison and selection of the most appropriate route for the person
3Device complexity
If the robot provides guidance without comparing route options, then the guidance process is simple, but the person cannot recognize whether the shortest route for them is available
Solution Approach 1:
The system implements feedback by comparing the robot shortest route with the person shortest route and using this comparison result to adjust the guidance display. This feedback loop ensures that the person receives accurate information about route feasibility and can make informed decisions about their movement
Data Source
AI summary
Robot current location information, guidance destination location information, robot travelable area information, and person movable area information are obtained; a person route that is a route for a person from a current location to the location of a guidance destination is calculated, to satisfy a predetermined condition for lightening a burden on the person, based on the robot current location information, the guidance destination location information, and the person movable area information obtained; the person route calculated is compared with the robot travelable area information; and a display format of guidance to the guidance destination, the display format being displayed on a display of the robot, is changed in accordance with a comparison result obtained from the comparing.