Samsung electronics co., ltd. (20240264605). ROBOT AND ROBOT CONTROL METHOD simplified abstract
ROBOT AND ROBOT CONTROL METHOD
Organization Name
Inventor(s)
Seungbeom Han of Suwon-si (KR)
ROBOT AND ROBOT CONTROL METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240264605 titled 'ROBOT AND ROBOT CONTROL METHOD
The abstract of the patent application describes a robot equipped with a light and detection ranging sensor (lidar), a driving module, and a memory storing map data. The robot's processor acquires sensing data through the lidar sensor at the start position, controls the robot to move in a state where the position is not identified on the map data, acquires second map data while moving, matches the second traveling space with the first based on probability and object position information, and identifies the traveling start position based on the matching spaces.
- Light and detection ranging sensor (lidar) for data acquisition
- Driving module for robot movement
- Memory storing map data for reference
- Processor analyzing sensing data and controlling robot movement
- Matching of traveling spaces based on probability and object position information
Potential Applications: - Autonomous navigation systems - Robotics for mapping and exploration - Industrial automation for inventory management
Problems Solved: - Efficient mapping and localization in unknown environments - Improved accuracy in robot navigation and positioning
Benefits: - Enhanced precision in robot movement - Increased efficiency in mapping and exploration tasks - Reduced errors in localization and navigation
Commercial Applications: Title: "Advanced Autonomous Navigation System for Robotics and Industrial Automation" This technology can be utilized in various industries such as logistics, manufacturing, and agriculture for automated mapping, navigation, and inventory management systems.
Prior Art: Researchers can explore existing patents related to lidar sensors, robot navigation, and mapping technologies to understand the evolution of similar innovations in the field.
Frequently Updated Research: Stay updated on advancements in lidar technology, robot navigation algorithms, and mapping techniques to enhance the capabilities of autonomous systems.
Questions about the technology: 1. How does the lidar sensor contribute to the accuracy of the robot's navigation? 2. What are the key factors influencing the matching of traveling spaces in the robot's mapping system?
Original Abstract Submitted
a robot includes: a light and detection ranging (“lidar”) sensor; a driving module; a memory configured to store first map data corresponding to a first traveling space; and at least one processor configured to: acquire sensing data through the lidar sensor at a traveling start position of the robot, control the driving module to move the robot in a state in which a position corresponding to the traveling start position of the robot is not identified on the first map data based on the acquired sensing data, acquire second map data based on the sensing data acquired through the lidar sensor while the robot is moving, identify whether a second traveling space corresponding to the second map data matches the first traveling space based on probability information included in the first map data and position information on one or more objects included in the second map data, and identify the traveling start position of the robot on the first map data based on the traveling start position of the robot on the second map data and the position information on the one or more objects in a state in which it is identified that the second traveling space matches the first traveling space.
(Ad) Transform your business with AI in minutes, not months
Trusted by 1,000+ companies worldwide
