Machine-learning device
Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determi...
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creator | Namiki, Yuta |
description | Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program. |
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The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program.</description><language>eng</language><subject>CHAMBERS PROVIDED WITH MANIPULATION DEVICES ; HAND TOOLS ; MANIPULATORS ; PERFORMING OPERATIONS ; PORTABLE POWER-DRIVEN TOOLS ; TRANSPORTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241210&DB=EPODOC&CC=US&NR=12162152B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241210&DB=EPODOC&CC=US&NR=12162152B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Namiki, Yuta</creatorcontrib><title>Machine-learning device</title><description>Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program.</description><subject>CHAMBERS PROVIDED WITH MANIPULATION DEVICES</subject><subject>HAND TOOLS</subject><subject>MANIPULATORS</subject><subject>PERFORMING OPERATIONS</subject><subject>PORTABLE POWER-DRIVEN TOOLS</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZBD3TUzOyMxL1c1JTSzKy8xLV0hJLctMTuVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfGhwYZGhmZGhqZGTkbGxKgBAMBlIdw</recordid><startdate>20241210</startdate><enddate>20241210</enddate><creator>Namiki, Yuta</creator><scope>EVB</scope></search><sort><creationdate>20241210</creationdate><title>Machine-learning device</title><author>Namiki, Yuta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US12162152B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>CHAMBERS PROVIDED WITH MANIPULATION DEVICES</topic><topic>HAND TOOLS</topic><topic>MANIPULATORS</topic><topic>PERFORMING OPERATIONS</topic><topic>PORTABLE POWER-DRIVEN TOOLS</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>Namiki, Yuta</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Namiki, Yuta</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Machine-learning device</title><date>2024-12-10</date><risdate>2024</risdate><abstract>Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CHAMBERS PROVIDED WITH MANIPULATION DEVICES HAND TOOLS MANIPULATORS PERFORMING OPERATIONS PORTABLE POWER-DRIVEN TOOLS TRANSPORTING |
title | Machine-learning device |
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