View source for Samsung electronics co., ltd. (20240286283). APPARATUS AND METHOD FOR SELF-SUPERVISED LEARNING FOR VISUAL FEATURE REPRESENTATION OF EGOCENTRIC IMAGES simplified abstract

=APPARATUS AND METHOD FOR SELF-SUPERVISED LEARNING FOR VISUAL FEATURE REPRESENTATION OF EGOCENTRIC IMAGES=


==Organization Name==

[[:Category:samsung electronics co., ltd.|samsung electronics co., ltd.]]


[[Category:samsung electronics co., ltd.]]

==Inventor(s)==

[[:Category:Jungseok Hong of Minneapolis MN (US)|Jungseok Hong of Minneapolis MN (US)]][[Category:Jungseok Hong of Minneapolis MN (US)]]

[[:Category:Suveer Garg of New York NY (US)|Suveer Garg of New York NY (US)]][[Category:Suveer Garg of New York NY (US)]]

[[:Category:Jinwook Huh of Millburn NJ (US)|Jinwook Huh of Millburn NJ (US)]][[Category:Jinwook Huh of Millburn NJ (US)]]

[[:Category:Hyun Soo Park of Saint Paul MN (US)|Hyun Soo Park of Saint Paul MN (US)]][[Category:Hyun Soo Park of Saint Paul MN (US)]]

[[:Category:Ibrahim Volkan Isler of Saint Paul MN (US)|Ibrahim Volkan Isler of Saint Paul MN (US)]][[Category:Ibrahim Volkan Isler of Saint Paul MN (US)]]

==APPARATUS AND METHOD FOR SELF-SUPERVISED LEARNING FOR VISUAL FEATURE REPRESENTATION OF EGOCENTRIC IMAGES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240286283 titled 'APPARATUS AND METHOD FOR SELF-SUPERVISED LEARNING FOR VISUAL FEATURE REPRESENTATION OF EGOCENTRIC IMAGES

The abstract describes an electronic device that uses a camera, memory, and processor to manipulate a target object. The device captures an image of the target object and provides it to an artificial intelligence model to obtain pose information. Based on this information, the device generates a control command to either move a manipulator to a new position or manipulate the target object directly.

* Electronic device with camera, memory, and processor
* Captures image of target object and provides it to AI model for pose information
* Generates control command based on pose information to move manipulator or manipulate target object directly
* Threshold value determines whether to move manipulator or manipulate target object
* Enhances precision and efficiency in manipulating target objects

Potential Applications:
- Industrial automation
- Robotics
- Surveillance systems
- Medical devices
- Inspection and quality control processes

Problems Solved:
- Enhances precision in manipulating target objects
- Increases efficiency in automated processes
- Reduces human intervention in repetitive tasks

Benefits:
- Improved accuracy in object manipulation
- Increased productivity in various industries
- Cost-effective automation solutions
- Enhanced safety in hazardous environments

Commercial Applications:
Title: Advanced Robotic Manipulation System for Industrial Automation
This technology can be used in manufacturing plants, warehouses, and other industrial settings to automate processes, improve efficiency, and reduce human error. The market implications include increased demand for robotic systems in various industries seeking to enhance productivity and precision in their operations.

Prior Art:
Researchers can explore existing patents related to robotic manipulation systems, AI integration in industrial automation, and computer vision technologies to understand the evolution of similar technologies in the field.

Frequently Updated Research:
Researchers in the fields of robotics, artificial intelligence, and computer vision are continuously developing new algorithms and technologies to improve object manipulation and automation processes. Stay updated on the latest advancements in these areas to enhance the capabilities of the electronic device described in the patent application.

Questions about Robotic Manipulation Systems:
1. How does the electronic device determine the threshold value for deciding between moving the manipulator and manipulating the target object?
The threshold value is determined based on the similarity value generated by the AI model, which compares the first image of the target object with a reference image to assess the level of similarity.

2. What are the potential challenges in integrating this electronic device into existing industrial automation systems?
Integrating the electronic device may require compatibility with different hardware and software systems, as well as ensuring seamless communication and coordination with other components in the automation setup.


==Original Abstract Submitted==

an electronic device for manipulating a target object, including: a camera; a memory; and at least one processor configured to: obtain a first image of the target object, wherein the first image is captured by the camera, provide the first image and a target image to an artificial intelligence (ai) model to obtain relative pose information, based on the obtained relative pose information, generate a similarity value, and generate a control command based on the similarity value, wherein based on the similarity value being greater than a threshold value, the control command includes a movement command for moving a manipulator associated with the electronic device from a first position to a second position, and wherein based on the similarity value being less than or equal to the threshold value, the control command includes a manipulation command for manipulating the target object using the manipulator.



[[Category:B25J9/16]]
[[Category:G06T7/70]]
[[Category:G06V10/44]]
[[Category:G06V10/74]]
[[Category:CPC_B25J9/1664]]