Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for predicting motion-outcome data of a robot moving between a given pair of robotic locations

Pending Publication Date: 2022-01-20
SIEMENS IND SOFTWARE SRL
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes methods and systems for predicting the movement and outcome of a robot in a given pair of robotic locations using a machine learning algorithm. The system receives data on the robotic locations and motion-outcome data as input and applies a function trained by the algorithm to predict the motion-outcome data of the robot. The system provides a trained function for predicting the motion-outcome data of a robot moving between a pair of robotic locations. The technical effects of the invention include improved efficiency and accuracy in robot motion-outcome prediction, which can enhance the efficiency and accuracy of robotic applications.

Problems solved by technology

Unfortunately, running robotic simulations is typically a very time-consuming task.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for predicting motion-outcome data of a robot moving between a given pair of robotic locations
  • Method and system for predicting motion-outcome data of a robot moving between a given pair of robotic locations
  • Method and system for predicting motion-outcome data of a robot moving between a given pair of robotic locations

Examples

Experimental program
Comparison scheme
Effect test

example embodiment

[0092 Algorithm: The Motion-Outcome Data is Swept-Volume Data

[0093]The below described example embodiment algorithm refers to the embodiment where the robotic motion-outcome data is swept volume data of a specific robot. The skilled person can easily apply the teachings of this specific example embodiments to other embodiments with other robotic motion-outcome data like for example cycle-time data, energy consumption data, robot's joint movement data, intermediate robotic locations data and other robotic motion-outcome data.

[0094]FIG. 5 is a drawing schematically illustrating a swept volume of a robot in accordance with disclosed embodiments. The robotic swept volume 500 is generated by the robot 501 with its attached tool during its motion from a source location 502 to a final target location 503.

[0095]FIG. 6 is a drawing schematically illustrating a cloud of points representing a 3D space around a robot (not shown) in accordance with disclosed embodiments. Each point 610, hereby i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Systems and a method for predicting motion-outcome data of a robot moving between a given pair of robotic locations. Data on a given pair of robotic locations are received as input data. A function trained by a machine learning algorithm is applied to the input data, wherein a related robotic motion-outcome data is generated as output data. The robotic motion-outcome data is provided as output data.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the priority, under 35 U.S.C. § 119, of U.S. application Ser. No. 16 / 196,156, filed Nov. 20, 2018; the prior application is herewith incorporated by reference in its entirety.TECHNICAL FIELD[0002]The present disclosure is directed, in general, to computer-aided design, visualization, and manufacturing (“CAD”) systems, product lifecycle management (“PLM”) systems, product data management (“PDM”) systems, and similar systems, that manage data for products and other items (collectively, “Product Data Management” systems or PDM systems). More specifically, the disclosure is directed to production environment simulation.BACKGROUND OF THE DISCLOSURE[0003]In industrial automation, applications performing robotic simulations are used for getting outcome data of robotic motions for validation and optimization purposes.[0004]Examples of robotic simulation platforms and systems include, but are not limited to, Computer Assiste...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N20/00G06N5/02
CPCG06N20/00G06N5/022B25J9/1602B25J9/1664B25J9/163B25J9/1671G05B2219/40499B25J9/1666G05B2219/39298
Inventor HAZAN, MOSHEZEMSKY, MAXIM
Owner SIEMENS IND SOFTWARE SRL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com