Robot Face Design Customization via Segmentation
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Solution Overview
Problem
Current communication robots have limited face design options, restricting user customization and emotional expression.
Innovation Solution
A robot system with a display, input unit, and processor that allows users to customize face designs through a touchscreen interface, generating face designs based on user input and recognizing face parts for personalized and emotive output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a communication robot uses a fixed manufacturer-provided face design, then the device complexity is reduced and ease of manufacture is improved, but the adaptability and user customization capability deteriorate
Solution Approach 1:
The face design is divided into multiple independent components including face shape, eyes, nose, mouth, and cheeks. Each component can be independently selected, drawn, or customized by the user, allowing flexible combination without requiring a complete redesign system. This segmentation enables customization while keeping individual component complexity low.
Solution Approach 2:
The system pre-provides multiple face design templates and components that users can select and combine. These preliminary designs include various face shapes, facial features, and emotion expressions that are prepared in advance, reducing the need for complex real-time generation while still enabling extensive customization options.
2Adaptability or versatility
If the robot provides multiple face design options and emotion expressions, then the adaptability and user satisfaction are improved, but the device complexity and processing requirements increase
Solution Approach 1:
Emotion expression is achieved by independently adjusting facial components such as eyes, mouth, and cheeks rather than requiring complete face redesign. Each component can be modified to express different emotions (e.g., smiling mouth for happiness, furrowed brows for anger), reducing processing complexity while maintaining expressive capability.
Solution Approach 2:
The system changes emotion expressions by modifying parameters of existing face components rather than generating entirely new designs. Parameters such as mouth curvature, eye shape, and cheek position can be adjusted to convey different emotions, enabling versatile expression with minimal processing overhead.
3Ease of operation
If the robot accepts detailed user drawing inputs for face customization, then the ease of operation and user control are improved, but the measurement precision and data processing requirements increase
Solution Approach 1:
The system provides real-time feedback during the drawing process by displaying the evolving face design and allowing users to adjust their inputs. The processor interprets drawing gestures and provides visual feedback showing how the face design is being formed, enabling users to correct inaccuracies and achieve desired precision through iterative adjustment.
Solution Approach 2:
The system converts detailed drawing inputs into standardized face design parameters through gesture recognition. By mapping user drawings to predefined parameter ranges and face component libraries, the system maintains ease of operation while reducing the precision burden on users, as the conversion process handles detailed parameter adjustment automatically.
Data Source
AI summary
A robot includes a display configured to display a face image indicating a face of the robot, an input unit configured to receive a customizing request for the face of the robot, and a processor configured to acquire customizing data based on the received customizing request, to generate a face design based on the acquired customizing data, and to control the display to display a face image based on the generated face design.