ROBOT CONTROL DEVICE, ROBOT CONTROL METHOD, AND ROBOT CONTROL PROGRAM

WIPO Patent Application WO/2020/095805

A1

A robot control device according to the present invention accepts an input of information 201 specifying an object 70 of a specific kind, which is to be manipulated by a robot 20, from among objects of a plurality of kinds, and an input of information 202 specifying a target relative positional relationship between the specified object 70 of the specific kind and the distal end of a hand of the robot 20. The robot control device extracts the object 70 of the specific kind from image information 501 obtained by photographing the objects of the plurality of kinds and the surrounding environment thereof, and generates information 301 indicating the position and orientation of the object 70. The robot control device generates an action instruction 401 from the result of learning by a learning module 103, the action instruction 401 serving to match the relative positional relationship between the object 70 and the distal end of the hand of the robot 20 with the target relative positional relationship, and outputs the action instruction 401 to the robot 20.

HAYASHI KENNOSUKE (JP)
OKAWA YOHEI (JP)
YAMAGUCHI YUKI (JP)
SHIBATA YOSHIYA (JP)

PCT/JP2019/042709

May 14, 2020

October 31, 2019

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OMRON TATEISI ELECTRONICS CO (JP)

B25J13/08

JP2016203293A	2016-12-08
JP2007216381A	2007-08-30
US20150239127A1	2015-08-27
JPH0976185A	1997-03-25
JPH10249767A	1998-09-22
JP2018051652A	2018-04-05
JP2018118343A	2018-08-02
JP2018161692A	2018-10-18

SERGEY LEVINE ET AL.: "Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection", ISER, 2016
See also references of EP 3878605A4

INABA, Yoshiyuki et al. (JP)

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