Robot Head Part with Three Rotational Degrees of Freedom
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Solution Overview
Problem
Existing social robots lack the ability to perform dynamic head rotations based on user voice interactions, limiting their capacity for effective human-robot interaction.
Innovation Solution
A robot apparatus with a head part that has three rotational degrees of freedom, driven by a plurality of motors, and controlled by a processor that performs voice recognition and determines interaction information to execute corresponding rotation operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a robot is designed with three rotational degrees of freedom for the head part, then the robot's ability to perform nuanced head movements in response to user voice is improved, but the device complexity increases due to multiple motors and mechanical components
Solution Approach 1:
The head part is divided into multiple independently controllable rotational segments with three degrees of freedom (pitch, yaw, roll), each driven by dedicated motors. This segmentation allows nuanced head movements for better user interaction while organizing complexity into modular, manageable units.
Solution Approach 2:
The driving device with three rotational degrees of freedom serves multiple functions: it enables the robot to track user position, perform expressive head gestures, and maintain proper orientation. This multi-functionality justifies the increased complexity by consolidating multiple capabilities into a single integrated system.
2Measurement precision
If voice recognition processing is implemented to determine interaction information, then the robot's response accuracy to user voice is improved, but the processing time and computational resources increase
Solution Approach 1:
The processor performs voice recognition processing and determines interaction information in advance before executing the corresponding head rotation operations. This preliminary processing allows the robot to prepare appropriate responses, reducing overall latency in user interaction.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the processor continuously receives user voice, performs recognition, determines interaction intent, and adjusts head movements in real-time. This feedback loop enables accurate, context-aware responses while optimizing processing efficiency through iterative refinement.
Data Source
AI summary
A robot apparatus includes a body part; a head part rotatably connected to the body part and having three rotational degrees of freedom; a driving device including a plurality of motors configured to provide rotational force to the head part in a pitch direction, a roll direction, and a yaw direction to drive movement of the head part; a microphone sensor configured to detect a voice of a user; and a processor configured to perform a voice recognition processing on the voice detected from the microphone sensor to obtain a recognition result, determine interaction information based on the recognition result, and control the driving device to perform a rotation operation on the head part corresponding to the interaction information.