Robot Pseudo-Emotion Control Using Emotion Maps and Action Sets
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Solution Overview
Problem
Existing technologies for controlling robotic actions to express pseudo-emotions are complex due to the large amount of control data and intricate processing required to select actions based on external and internal factors.
Innovation Solution
The proposed solution involves an apparatus and method for reducing the processing load in determining control content for expressing pseudo-emotions, using an emotion map and personality values to adjust control data in real-time based on detected external stimuli and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional action selection methods using emotional data are employed, then the robot can express pseudo-emotions, but the processing load and computational complexity increase significantly
Solution Approach 1:
The patent segments the action selection process into two distinct stages: (1) emotion determination based on external stimuli and internal state, and (2) action selection based on the determined emotion. This segmentation allows the complex problem to be divided into manageable parts, reducing overall processing complexity while maintaining emotional responsiveness.
Solution Approach 2:
The patent implements preliminary action by pre-defining action sets associated with each emotion type. Instead of generating actions in real-time based on complex emotional data processing, the system prepares action templates in advance that can be quickly selected and executed based on the current emotion state, significantly reducing computational load during runtime.
2Adaptability or versatility
If multiple types of control data are used for action selection, then the robot can express more nuanced pseudo-emotions, but the amount of data and processing required increases
Solution Approach 1:
The patent changes parameters by representing emotions as points on a two-dimensional emotion map with axes for arousal and valence. This parameterization allows continuous emotional states to be mapped to discrete action sets, reducing the need for large volumes of control data while maintaining nuanced emotional expression capabilities through coordinate-based emotion representation.
Data Source
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AI summary
An apparatus includes a controller (110) that performs control for acquiring a signal expressing an external stimulus acting on the apparatus; setting, based on the signal, a pseudo-emotion; and adjusting, based on the set pseudo-emotion, a content of control for the sound outputter (230) or the driver (220) of the apparatus, the content of the control being stored in advance in a storage (120).