18467296. ROBOT OPERATION SYSTEM, ROBOT OPERATION METHOD, AND PROGRAM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

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ROBOT OPERATION SYSTEM, ROBOT OPERATION METHOD, AND PROGRAM

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Shun Sato of Nagoya-shi (JP)

ROBOT OPERATION SYSTEM, ROBOT OPERATION METHOD, AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18467296 titled 'ROBOT OPERATION SYSTEM, ROBOT OPERATION METHOD, AND PROGRAM

Simplified Explanation

The abstract describes a robot operation system that improves the accuracy of a learning model by generating composite images, searching for routes, and photographing objects and workpieces.

  • Composite image generation unit inputs CAD data of an object and workpiece to generate multiple composite images under random conditions.
  • Information processing apparatus searches for a route using the position of the end effector of a robot and a feature point, then moves the end effector to the feature point along the searched route.
  • Imaging apparatus photographs the object and workpiece.

Potential Applications

This technology could be applied in industries such as manufacturing, quality control, and automation.

Problems Solved

This technology solves the problem of improving the accuracy of learning models in robot operation systems.

Benefits

The benefits of this technology include increased accuracy, efficiency, and productivity in robot operations.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of advanced robotic systems for various industries.

Possible Prior Art

Prior art in the field of robot operation systems may include similar systems that use composite images and route optimization for improved accuracy.

Unanswered Questions

How does this technology impact the overall cost of implementing robotic systems in industries?

This article does not address the potential cost implications of implementing this technology in industries. The cost-effectiveness of the system and its impact on overall expenses would be important factors to consider for businesses looking to adopt this innovation.

What are the potential limitations or challenges faced when integrating this technology into existing robotic systems?

The article does not discuss any potential limitations or challenges that may arise when integrating this technology into existing robotic systems. Understanding the obstacles and difficulties in implementation could provide valuable insights for companies considering adopting this innovation.


Original Abstract Submitted

A robot operation system with improved accuracy of a learning model accuracy is provided. Provided is a robot operation system including a composite image generation unit to which CAD data of an object and a workpiece and a feature point of the workpiece are input configured to generate a plurality of composite images under random conditions from the CAD data of the object and the workpiece, an information processing apparatus configured to search for a route using a position of an end effector of a robot and a position of the feature point and move the end effector to the feature point along the searched route, and an imaging apparatus configured to photograph the object and the workpiece.