Robot Pseudo-Emotion Control for Natural Sound and Motion
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Solution Overview
Problem
Current technologies for controlling robotic actions fail to create a convincing emotional response in robots, limiting their ability to interact naturally with users by mimicking familiar beings.
Innovation Solution
An apparatus comprising a sound outputter, driver, and controller that acquires external stimuli to set and adjust pseudo-emotions, allowing for dynamic control of sound and motion outputs based on detected interactions, using an emotion map and change data to generate varied personalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional action determination methods are used for robots, then the robot can perform basic actions, but the robot fails to exhibit convincing emotional responses and natural interaction
Solution Approach 1:
The patent applies parameter changes by modifying the robot's control parameters based on detected external stimuli. The controller adjusts action determination parameters dynamically according to the type and intensity of stimuli detected, enabling the robot to exhibit varied emotional responses without requiring a completely new control architecture. This allows the robot to transition between different behavioral states by changing control parameters.
Solution Approach 2:
The patent implements dynamics by making the robot's action determination dynamic rather than static. The controller continuously updates action determination based on real-time external stimulus detection, allowing the robot to adapt its behavior dynamically. This dynamic approach enables emotional responses to evolve over time in response to changing environmental conditions and user interactions.
2Adaptability or versatility
If the robot uses fixed action patterns, then the control system remains simple, but the robot cannot develop unique personalities or respond naturally to different users
Solution Approach 1:
The patent implements feedback by having the controller continuously detect external stimuli from users and adjust action determination based on this feedback. The system creates a closed-loop control mechanism where user interactions are detected, processed, and used to modify subsequent robot behaviors. This feedback mechanism enables the robot to learn and adapt to individual user preferences, forming unique interaction patterns and personalities over time.
Solution Approach 2:
The patent applies preliminary action by pre-storing multiple types of actions and their associated parameters in the storage unit. Rather than generating actions from scratch in real-time, the system has pre-prepared action patterns that can be quickly selected and adjusted based on detected stimuli. This preliminary preparation enables rapid response while maintaining the flexibility to develop unique personalities through selective combination and modification of pre-stored actions.
Data Source
AI summary
An apparatus includes a controller 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 or the driver of the apparatus, the content of the control being stored in advance in a storage.