SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION (20240219919). AUTONOMOUS ROBOT AND ITS POSITION CORRECTION METHOD simplified abstract
Contents
AUTONOMOUS ROBOT AND ITS POSITION CORRECTION METHOD
Organization Name
SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
Inventor(s)
AUTONOMOUS ROBOT AND ITS POSITION CORRECTION METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240219919 titled 'AUTONOMOUS ROBOT AND ITS POSITION CORRECTION METHOD
Simplified Explanation: The patent application describes an autonomous driving robot that uses a camera and a traveling distance measurement sensor to estimate its location. A control unit processes the captured image and distance information to generate maps and correct the robot's position.
Key Features and Innovation:
- Autonomous driving robot with a driving unit, camera, and distance sensor.
- Control unit estimates robot's location using image and distance data.
- Operation control program generates maps and corrects robot's position.
- Style-transfer model used to refine estimated position.
Potential Applications: This technology can be applied in autonomous vehicles, robotics, surveillance systems, and mapping technologies.
Problems Solved: This technology addresses the challenges of accurately estimating the location of autonomous robots using image data and distance measurements.
Benefits:
- Improved accuracy in estimating the location of autonomous robots.
- Enhanced mapping capabilities for autonomous systems.
- Increased efficiency in autonomous navigation.
Commercial Applications: The technology can be utilized in autonomous vehicles for improved navigation, in robotics for precise positioning, and in surveillance systems for enhanced monitoring capabilities.
Prior Art: Researchers can explore prior patents related to autonomous navigation systems, image processing in robotics, and style-transfer models for position correction.
Frequently Updated Research: Stay updated on advancements in autonomous navigation systems, image processing algorithms, and style-transfer techniques for robotic applications.
Questions about Autonomous Driving Robot: 1. How does the control unit process the captured image and distance information to estimate the robot's location? 2. What are the potential limitations of using style-transfer models for position correction in autonomous robots?
Original Abstract Submitted
an autonomous driving robot includes a driving unit that moves the autonomous robot; a camera; a traveling distance measurement sensor; and a control unit that estimates a location of the autonomous robot using a captured image and traveling distance information. in this case, the operation control program generates a robot viewpoint map based on the image captured by the camera, estimates a location of the autonomous robot based on the robot viewpoint map and the measured traveling distance information, and generates a global map based on the robot viewpoint map and position estimation information, and the operation control program inputs the generated robot viewpoint map and global map into a style-transfer model, and inputs a style-transferred robot viewpoint map and a style-transferred global map output by the style-transfer model into the operation agent to correct the estimated position.
