18224881. ROBOT FOR ACQUIRING LEARNING DATA AND METHOD FOR CONTROLLING THEREOF simplified abstract (Samsung Electronics Co., Ltd.)
ROBOT FOR ACQUIRING LEARNING DATA AND METHOD FOR CONTROLLING THEREOF
Organization Name
Inventor(s)
Hyeontaek Lim of Suwon-si (KR)
ROBOT FOR ACQUIRING LEARNING DATA AND METHOD FOR CONTROLLING THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18224881 titled 'ROBOT FOR ACQUIRING LEARNING DATA AND METHOD FOR CONTROLLING THEREOF
Simplified Explanation
The abstract describes a patent application for a robot that can control an external device based on pre-stored environment information while operating in a learning mode. The robot learns a speech recognition model by analyzing the noise and speech of a user acquired through its microphone. This model can then be used by the robot or another device to better understand the user's speech commands.
- The robot can control an external device based on pre-stored environment information.
- The robot learns a speech recognition model by analyzing user noise and speech.
- The speech recognition model improves the robot's understanding of the user's speech commands.
Potential Applications
- Home automation: The robot can control various devices in a smart home based on the user's speech commands.
- Assistive technology: The robot can help individuals with disabilities control external devices using speech commands.
- Industrial automation: The robot can be used in manufacturing or warehouse settings to control machinery based on user instructions.
Problems Solved
- Improved user interaction: The robot's ability to accurately understand and execute speech commands enhances the user's experience.
- Efficient control of external devices: The robot's pre-stored environment information allows for efficient control of external devices without the need for manual input.
Benefits
- Enhanced user experience: The robot's improved understanding of the user's speech commands leads to more accurate and efficient execution of tasks.
- Increased automation: The robot's ability to control external devices based on pre-stored environment information reduces the need for manual intervention.
- Improved accessibility: The robot's speech recognition capabilities make it easier for individuals with disabilities to interact with external devices.
Original Abstract Submitted
A robot transmits a command to control an external device around the robot based on pre-stored environment information while the robot is operating in a learning mode. The external device makes a noise as part of its operation. Also, the robot outputs user speech for learning while the external device is operating. The robot learns a speech recognition model based on the noise and speech of a user acquired through a microphone of the robot. The speech recognition model is then used by the robot or by another device to better understand the user when the user talks. The robot is then able to more accurately understand and properly execute speech commands from the user.
