20240083033.ROBOT AND CONTROL METHOD THEREOF simplified abstract (samsung electronics co., ltd.)
Contents
- 1 ROBOT AND CONTROL METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ROBOT AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ROBOT AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Hyeontaek Lim of Suwon-si (KR)
ROBOT AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240083033 titled 'ROBOT AND CONTROL METHOD THEREOF
Simplified Explanation
A robot with advanced audio processing capabilities
- The robot includes a lidar sensor for object detection and a plurality of directional microphones for audio input.
- The processor in the robot identifies objects in its vicinity using lidar data and determines the weight to apply to audio signals based on the type of object.
- Context information of the robot is obtained from sensing data to select pre-processing models for each directional microphone.
- The weight is applied to the audio signal from the directional microphone corresponding to the location of the object, enhancing voice recognition.
- Voice recognition is performed based on the pre-processed audio signals from all directional microphones.
Potential Applications
This technology can be applied in various industries such as:
- Robotics for improved human-robot interaction
- Surveillance systems for enhanced audio monitoring
- Autonomous vehicles for better voice command recognition
Problems Solved
This innovation addresses the following issues:
- Accurate object detection and localization
- Effective noise reduction in audio signals
- Enhanced voice recognition in complex environments
Benefits
The benefits of this technology include:
- Improved audio processing capabilities
- Enhanced performance in noisy environments
- Better user experience in human-robot interactions
Potential Commercial Applications
The technology can be commercially utilized in:
- Smart home devices for voice control
- Security systems for audio surveillance
- Industrial robots for improved communication with operators
Possible Prior Art
One possible prior art for this technology could be the use of multiple microphones for audio processing in robotics and surveillance systems.
Unanswered Questions
How does the robot prioritize audio signals from different directional microphones?
The abstract does not specify the method used by the robot to prioritize audio signals from different directional microphones based on the location of the object.
What is the accuracy rate of voice recognition achieved by the robot?
The abstract does not mention the accuracy rate of voice recognition achieved by the robot using the pre-processed audio signals.
Original Abstract Submitted
a robot includes: a light detection and ranging (lidar) sensor; a plurality of directional microphones; and at least one processor configured to: identify, based on sensing data obtained through the lidar sensor, an object in a vicinity of the robot, identify, based on the type of the object, a weight to apply to an audio signal received through a directional microphone corresponding to a location of the object from among the plurality of directional microphones, obtain context information of the robot based on the sensing data, identify, based on the context information, a pre-processing model corresponding to each directional microphone of the plurality of directional microphones, apply the weight to an audio signal received through the directional microphone corresponding to the location of the object among a plurality of audio signals received through the plurality of directional microphones, obtain a plurality of pre-processed audio signals by inputting the audio signal to which the weight has been applied, and the remaining audio signals into the pre-processing model corresponding to the respective directional microphone , and perform voice recognition based on the plurality of pre-processed audio signals.
