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Patent Searching and Data


Title:
IMAGE-BASED STRENGTH PREDICTION SYSTEM AND METHOD THEREFOR
Document Type and Number:
WIPO Patent Application WO/2019/240330
Kind Code:
A1
Abstract:
An image-based strength prediction system and a method therefor are disclosed. The method for predicting strength of a robot arm of the image-based strength prediction system may comprise the steps of: acquiring real images generated by continuously photographing a motion of a robot arm interacting with an object; acquiring time-series motion information related to a change in the motion of the robot arm over time; and predicting an interaction strength of the robot arm on the basis of the real images and the time-series motion information.

Inventors:
LIM SOO CHUL (KR)
HWANG WON JUN (KR)
SHIN HO CHUL (KR)
LEE DONG HAN (KR)
KO DAE KWAN (KR)
Application Number:
PCT/KR2018/011808
Publication Date:
December 19, 2019
Filing Date:
October 08, 2018
Export Citation:
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Assignee:
UNIV DONGGUK IND ACAD COOP (KR)
UNIV AJOU IND ACADEMIC COOP FOUND (KR)
International Classes:
G01L11/02; B25J18/00; G06T7/11; G06T7/20
Foreign References:
JP2008008746A2008-01-17
JP2010066028A2010-03-25
Other References:
AVILES ET AL.: "V-ANFIS for Dealing with Visual Uncertainty for Force Estimat ion in Robotic Surgery", 16TH WORLD CONGRESS OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION (IFSA), 1 January 2015 (2015-01-01), pages 1465 - 1472, XP055664910, DOI: 10.2991/ifsa-eusflat-15.2015.208
AVILES ET AL.: "A Recurrent Neural Network Approach for 3d Vision-based Force Estimation", 2014 4TH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 14 October 2014 (2014-10-14), pages 1 - 6, XP032716190, DOI: 10.1109/IPTA.2014.7001941
AVILES ET AL.: "Sensorless Force Estimation using a Neuro-Vision-Based Approa ch for Robotic-Assisted Surgery", 2015 7TH INTERNATIONAL IEEE /EMBS CONFERENCE ON NEURAL ENGINEERING (NER, 22 April 2015 (2015-04-22), pages 86 - 89, XP033166170, DOI: 10.1109/NER.2015.7146566
Attorney, Agent or Firm:
MUHANN PATENT & LAW FIRM (KR)
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