Robot Image Projection Area Prioritization for Better Display
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Solution Overview
Problem
Current robots lack the ability to efficiently identify and prioritize suitable areas for image projection in user surroundings, leading to suboptimal image display and user interaction.
Innovation Solution
A robot equipped with a projector, sensor, and processor that identifies candidate projection areas based on environmental sensing, determines a priority order based on area characteristics and user input, and projects images accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the robot projects images without identifying candidate projection areas, then the projection process is simple, but the image display quality and user interaction are suboptimal
Solution Approach 1:
The robot performs preliminary identification of candidate projection areas and determination of priority orders before actual image projection. The processor identifies multiple candidate areas based on environmental sensing data, evaluates them using priority criteria (area size, distance, saturation), and prepares projection information in advance. This preliminary analysis ensures high-quality image display by selecting optimal projection areas while maintaining organized and efficient projection processes through pre-computed priority rankings.
2Productivity
If the robot identifies multiple candidate projection areas with priority order, then the image projection becomes optimized, but the processing time and computational complexity increase
Solution Approach 1:
The projection process is segmented into distinct phases: environmental sensing, candidate area identification, priority order determination, and final projection execution. The processor segments the analysis by evaluating multiple candidate areas independently using standardized priority criteria, allowing parallel processing of different areas. This segmentation improves overall projection efficiency by organizing complex multi-area projection tasks into manageable, systematically evaluated segments, reducing computational bottlenecks.
Solution Approach 2:
The robot performs preliminary identification and priority ranking of candidate projection areas before actual image projection. By pre-computing priority orders based on area characteristics (size, distance, saturation) and user input, the system prepares projection information in advance, enabling faster execution during actual projection operations and reducing real-time processing time.
3Measurement precision
If the robot considers multiple factors (area size, distance, saturation) for prioritization, then the projection area selection becomes more accurate, but the computational complexity increases
Solution Approach 1:
The processor evaluates candidate projection areas by analyzing multiple parameters including area size, distance from user, and color saturation. The system changes and adjusts these parameters systematically, assigning weights and priority values based on predefined criteria. By standardizing the evaluation of these parameters through consistent priority determination algorithms, the robot achieves accurate projection area selection while managing computational complexity through structured parameter analysis rather than complex adaptive algorithms.
Data Source
AI summary
A robot includes: a projector; a sensor; memory storing instructions; and one or more processors, wherein the instructions that, when executed by the one or more processors, cause the robot to: identify candidate projection areas based on first information obtained by sensing surroundings of a user via the sensor; identify a priority order of the candidate projection areas; control the projector to: project a first image at an area including the candidate projection areas, based on positions of the candidate projection areas and the priority order; and display second information on the priority order at the candidate projection areas; identify a candidate projection area selected based on a user input from among the candidate projection areas as a projection area; and project image content at the projection area via the projector.