Samsung electronics co., ltd. (20240288878). MOBILE ROBOT AND CONTROL METHOD THEREFOR simplified abstract
MOBILE ROBOT AND CONTROL METHOD THEREFOR
Organization Name
Inventor(s)
Seokhyun Kang of Suwon-si (KR)
MOBILE ROBOT AND CONTROL METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240288878 titled 'MOBILE ROBOT AND CONTROL METHOD THEREFOR
Simplified Explanation:
This patent application describes a robot with optical sensors that can detect and avoid obstacles based on the information received from the sensors.
- The robot includes a main body, optical sensors, memory, and a processor.
- The optical sensors emit light of a certain wavelength and receive light induced by that emission.
- The processor processes the information obtained from the sensors to avoid obstacles in the robot's path.
Key Features and Innovation:
- Robot with optical sensors for obstacle detection and avoidance.
- Optical sensors emit and receive light of specific wavelengths.
- Processor analyzes sensor data to navigate around obstacles effectively.
Potential Applications:
- Autonomous robots in industrial settings.
- Robotic vacuum cleaners with advanced obstacle avoidance capabilities.
- Security robots patrolling areas and avoiding obstacles.
Problems Solved:
- Improved obstacle detection and avoidance for robots.
- Enhanced safety and efficiency in robot navigation.
- Reduced risk of collisions and damage to the robot.
Benefits:
- Increased productivity in industrial environments.
- Enhanced safety for users in domestic settings.
- Improved performance and reliability of robotic systems.
Commercial Applications:
Title: Advanced Obstacle Avoidance Robot Technology for Industrial and Domestic Use
This technology can be utilized in various industries such as manufacturing, logistics, and security services. It can also be adapted for consumer products like robotic vacuum cleaners to provide a more efficient and safe cleaning experience.
Prior Art:
Readers interested in prior art related to this technology can explore patents and research papers on robotic sensors, obstacle avoidance algorithms, and autonomous navigation systems.
Frequently Updated Research:
Researchers are continually exploring new algorithms and sensor technologies to enhance the obstacle avoidance capabilities of robots. Stay updated on advancements in the field to leverage the latest innovations in robotic navigation.
Questions about Obstacle Avoidance Robot Technology:
1. How does the robot process the information obtained from the optical sensors to avoid obstacles effectively?
The robot's processor analyzes the data received from the optical sensors to determine the presence of obstacles and navigate around them.
2. What are some potential challenges in implementing this technology in real-world applications?
Some challenges may include fine-tuning the sensor sensitivity, optimizing the obstacle avoidance algorithms, and ensuring the reliability of the system in dynamic environments.
Original Abstract Submitted
a robot includes: a main body, one or more optical sensors provided at a lower portion of the main body, memory storing at least one program, and at least one processor, comprising processing circuitry, electrically connected with the optical sensors and the memory and configured to execute at least one instruction of the program. each optical sensor includes: one or more light emitting elements for emitting light of a first wavelength band, one or more light receiving elements for receiving light of a second wavelength band induced by the light of the first wavelength band, and one or more optical filter layers arranged on the one or more light receiving elements to pass the light of the second wavelength band. the at least on processor is configured to obtain first detection information based on two or more sensing values obtained through the one or more light receiving elements, and, control to avoid a position associated with the first detection information when the first detection information is obtained.
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