Pet Robot Actuator Control for Clear Human Voice Capture
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Solution Overview
Problem
Noise emitted by actuators in pet robots interferes with microphone sound recognition, hindering effective interaction and sound analysis.
Innovation Solution
An action control device comprising a sound acquirer, an actuator, and a controller that temporarily stops the actuator when a human voice is detected, allowing sound capture for a predetermined period before restarting the actuator's action to minimize noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the actuator operates continuously to maintain natural robot behavior, then the robot's behavioral naturalness is improved, but noise interference with microphone sound recognition increases
Solution Approach 1:
The actuator operates in periodic cycles: running during normal periods to maintain natural behavior, and temporarily stopping when human voice is detected to eliminate noise interference. This periodic switching resolves the contradiction by allocating different operational states to different time periods based on detection results.
Solution Approach 2:
The system uses microphone feedback to detect human voice in real-time, and this detection result feeds back to control the actuator's operation state. When voice is detected, the actuator stops; when no voice is detected, the actuator runs normally, creating a closed-loop control system that dynamically resolves the noise-behavior contradiction.
2Measurement precision
If the actuator is stopped to reduce noise interference, then sound recognition accuracy is improved, but the duration of actuator operation decreases
Solution Approach 1:
The actuator follows a periodic operation pattern with two phases: a running phase that maintains natural behavior, and a temporary stopping phase that occurs only when human voice is detected. This ensures the actuator operates for the maximum possible duration while briefly pausing only when necessary for accurate sound recognition.
Solution Approach 2:
The system performs preliminary detection of human voice before stopping the actuator. By detecting voice signals in advance and proactively stopping the actuator, the system ensures sound recognition accuracy is maintained while minimizing the duration of actuator interruption.
3Object-affected harmful factors
If the actuator stops temporarily when human voice is detected, then noise interference is reduced, but the robot's behavioral naturalness deteriorates
Solution Approach 1:
The actuator operates periodically with long running phases that maintain natural behavior and brief stopping phases that occur only during human voice detection. This asymmetric periodic pattern ensures the robot appears natural most of the time while eliminating noise only when necessary, minimizing the impact on behavioral naturalness.
Solution Approach 2:
Instead of stopping the actuator completely or continuously, the system applies partial action by stopping only for the minimum necessary duration - just long enough to capture the human voice signal clearly. This limited, targeted interruption reduces noise interference while preserving the overall naturalness of robot behavior.
Data Source
AI summary
An action control device includes a sound acquirer, an actuator, and a controller. In response to the controller determining, during an action of the actuator, that a sound acquired by the sound acquirer is a human voice, the controller controls so as to stop the actuator, capture sound after the determination for a predetermined period, and in response to the predetermined period having elapsed, restart the action of the actuator.