Visually Distinguishable Robots via Asymmetric Component Assembly
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Solution Overview
Problem
As robots become more common in public places, distinguishing one robot from another becomes challenging, especially for children who need to identify their specific robot for tasks like school pickups, leading to a need for visually distinguishable robots that can be easily recognized by humans without relying on close proximity or large, potentially distracting markers.
Innovation Solution
The solution involves mass-producing robots using the same components but varying their appearance by altering the spatial relationships and orientations of these components during assembly, mimicking human anatomical features such as facial and body variations, allowing for unique visual recognition without customized parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots are mass-produced using the same components, then production cost is reduced and productivity is improved, but all robots appear identical and cannot be visually distinguished from one another
Solution Approach 1:
The patent applies asymmetry by intentionally creating non-uniform spatial relationships between identical components on different robots. Specifically, components such as eyes, nose, mouth, and other facial features are positioned at varying distances and orientations relative to each other, producing asymmetric facial configurations that enable visual distinction while using the same component set. This resolves the contradiction by introducing visual variability without requiring component customization.
Solution Approach 2:
The patent implements preliminary action by pre-defining multiple valid spatial relationship configurations for robot components during the design phase. These pre-established configurations include varied component positions, orientations, and spacing that all satisfy functional requirements. During assembly, different pre-defined configurations are applied to different robots, enabling visual distinguishability while maintaining manufacturing efficiency through standardized components and assembly procedures.
2Reliability
If markers or indicators are added to robots for identification, then visual distinguishability is improved, but the markers may be large, distracting, or require close proximity to be seen
Solution Approach 1:
The patent applies local quality by creating uniqueness through localized variations in component spatial relationships rather than adding global identification markers. Specific local areas such as the spacing between eyes, the position of the nose relative to the mouth, or the orientation of facial features are varied to create distinctive appearances. This approach achieves visual distinguishability through subtle local differences in the robot's natural features, avoiding the need for additional markers that would increase device complexity and visual distraction.
3Reliability
If customized parts are used to create unique robot appearances, then visual distinguishability is improved, but manufacturing cost increases and high-volume production becomes difficult
Solution Approach 1:
The patent implements universality by designing a single set of standardized components that can be assembled into multiple visually distinct robot configurations. The same universal components (eyes, nose, mouth, ears, etc.) are used across all robots, but their spatial relationships vary according to pre-defined configurations. This enables high-volume production through standardized manufacturing and assembly processes while achieving visual distinguishability through combinatorial spatial arrangements, eliminating the need for customized parts.
Solution Approach 2:
The patent applies parameter changes by varying the spatial parameters (position, orientation, distance) of identical components rather than changing the components themselves. Each robot's unique appearance is achieved by adjusting parameters such as the distance between eyes, the angle of the nose, or the position of facial features within defined ranges. This approach maintains manufacturing simplicity by using the same components while achieving visual diversity through parameter variation, enabling both high-volume production and visual distinguishability.
Data Source
AI summary
Visually distinguishable robots and methods to manufacture the same are disclosed. An example kit for constructing a robot includes a first component for a framework of the robot, a second component for the framework, and a connector to secure the first and second components in a spatial relationship of a plurality of possible spatial relationships. The spatial relationship is to cause the robot to have a humanly perceptible identity.