View source for 18570156. Robotic Systems and Methods Used with Installation of Component Parts simplified abstract (ABB Schweiz AG)

=Robotic Systems and Methods Used with Installation of Component Parts=


==Organization Name==

[[:Category:ABB Schweiz AG|ABB Schweiz AG]]


[[Category:ABB Schweiz AG]]

==Inventor(s)==

[[:Category:Yinwei Zhang of Raleigh NC (US)|Yinwei Zhang of Raleigh NC (US)]][[Category:Yinwei Zhang of Raleigh NC (US)]]

[[:Category:Qilin Zhang of Chicago IL (US)|Qilin Zhang of Chicago IL (US)]][[Category:Qilin Zhang of Chicago IL (US)]]

[[:Category:Biao Zhang of Apex NC (US)|Biao Zhang of Apex NC (US)]][[Category:Biao Zhang of Apex NC (US)]]

[[:Category:Jorge Vidal-ribas of Esplugues de Llobregat (ES)|Jorge Vidal-ribas of Esplugues de Llobregat (ES)]][[Category:Jorge Vidal-ribas of Esplugues de Llobregat (ES)]]

==Robotic Systems and Methods Used with Installation of Component Parts - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18570156 titled 'Robotic Systems and Methods Used with Installation of Component Parts

'''Simplified Explanation''': 

The patent application describes a robotic system designed for installing final trim and assembly parts. The system includes an auto-labeling feature that uses images of a primary component, such as a vehicle, along with a computer-based model for comparison using feature-based object tracking methods.

'''Key Features and Innovation''':
* Auto-labeling system combining images of a primary component with a computer-based model
* Feature-based object tracking methods for comparison
* Camera mounted on a moveable robot or fixed in position relative to the robot
* Use of artificial markers in some forms
* Robot movement tracking
* Utilization of a deep learning network for runtime operation to aid in initializing a pose of the vehicle and restoring tracking if lost

'''Potential Applications''':
The robotic system can be used in various industries for efficient installation of final trim and assembly parts, such as automotive manufacturing, electronics assembly, and furniture production.

'''Problems Solved''':
The technology addresses the challenges of accurately installing final trim and assembly parts by providing a precise and automated system for comparison and tracking.

'''Benefits''':
* Improved accuracy and efficiency in installing final trim and assembly parts
* Reduction in human error and labor costs
* Enhanced productivity and quality control

'''Commercial Applications''':
Title: Robotic System for Efficient Installation of Final Trim and Assembly Parts
The technology can be commercially applied in industries requiring precise and automated assembly processes, leading to increased productivity and cost savings.

'''Prior Art''':
Readers can explore prior art related to computer vision systems, robotic automation, and deep learning networks in the field of industrial automation.

'''Frequently Updated Research''':
Stay updated on advancements in computer vision technology, robotic automation, and deep learning networks for industrial applications.

'''Questions about Robotic System for Efficient Installation of Final Trim and Assembly Parts''':
1. How does the auto-labeling system improve the installation process?
2. What are the potential cost-saving benefits of implementing this robotic system in manufacturing operations?


==Original Abstract Submitted==

A robotic system for use in installing final trim and assembly part includes an auto-labeling system that combines images of a primary component, such as a vehicle, with those of computer based model, where feature based object tracking methods are used to compare the two. In some forms a camera can be mounted to a moveable robot, while in other the camera can be fixed in position relative to the robot. An artificial marker can be used in some forms. Robot movement tracking can also be used. A runtime operation can utilize a deep learning network to augment feature-based object tracking to aid in initializing a pose of the vehicle as well as an aid in restoring tracking if lost.



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[[Category:B25J11/00]]
[[Category:CPC_B25J9/1697]]