Docking device and mobile robot system
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Solution Overview
Problem
Existing mobile robot cleaners face challenges with accurate voice recognition due to motor noise and increased computational burden during operation, which affects their ability to execute voice commands effectively.
Innovation Solution
A docking device equipped with a voice recognition module, including a microphone and a charging-station controller, that collects and processes voice commands independently of the robot cleaner, allowing for accurate voice recognition and command extraction without burdening the robot's processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice recognition is performed using the robot cleaner's onboard terminal or processor, then voice commands can be recognized during operation, but voice recognition accuracy deteriorates due to motor noise and computational resources are consumed during cleaning tasks
Solution Approach 1:
The docking device serves as an intermediary between the user and the mobile robot. It includes a voice recognition module with microphone that collects voice externally when the robot is operating, processes the voice commands separately from the robot's main processor, and transmits the processed commands back to the robot. This mediator approach isolates the voice recognition process from the robot's motor noise environment while maintaining operational capability.
2Ease of operation
If voice recognition processing is performed on the robot cleaner itself, then real-time control is possible, but the computational burden increases when the robot performs cleaning tasks
Solution Approach 1:
The system segments the voice recognition function from the mobile robot's main processing unit and places it in the docking device. The docking device's controller handles voice command processing separately, while the robot's controller focuses on navigation and cleaning tasks. This segmentation reduces the computational burden on the robot while maintaining voice control capability.
Solution Approach 2:
The docking device acts as an intermediary processing unit that handles voice recognition externally. It collects voice through its microphone, processes commands through its controller, and transmits the processed commands to the robot via communication module, reducing the robot's computational load.
3Speed
If the robot cleaner processes voice commands during operation, then immediate response to user commands is possible, but processing reliability decreases due to operational disturbances
Solution Approach 1:
The docking device serves as a stable intermediary platform for voice recognition. When the robot returns to the docking station, the docking device's controller processes voice commands in a stable environment free from the robot's operational disturbances. The processed commands are then transmitted back to the robot for execution, ensuring reliable recognition while maintaining operational responsiveness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate voice recognition and command execution for mobile robot cleaners, reducing computational load and improving operational efficiency by processing voice commands externally through the docking device.
Implementation Method 1
a voice recognition module for collecting a voice and extracting a voice command from the collected voice... a microphone... a voice input unit for collecting the voice
Data Source
AI summary
The present disclosure discloses a docking device including a charging terminal, a power supply unit for supplying power to the charging terminal, a communication module for exchanging data with a mobile robot, a voice recognition module for collecting a voice and extracting a voice command from the collected voice, and a charging-station controller for controlling the communication module to transmit the voice command extracted from the voice recognition module to the mobile robot.