Patents by Inventor Ryosuke OKUTA
Ryosuke OKUTA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11915146Abstract: There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.Type: GrantFiled: November 11, 2022Date of Patent: February 27, 2024Assignee: PREFERRED NETWORKS, INC.Inventors: Seiya Tokui, Yuya Unno, Kenta Oono, Ryosuke Okuta
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Patent number: 11904469Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.Type: GrantFiled: September 17, 2020Date of Patent: February 20, 2024Assignees: FANUC CORPORATION, PREFERRED NETWORKS, INC.Inventors: Taketsugu Tsuda, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20240046104Abstract: There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.Type: ApplicationFiled: October 16, 2023Publication date: February 8, 2024Applicant: Preferred Networks, Inc.Inventors: Seiya TOKUI, Yuya UNNO, Kenta OONO, Ryosuke OKUTA
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Publication number: 20230321837Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of workpieces placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each workpiece, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the workpiece by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the workpiece, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.Type: ApplicationFiled: June 14, 2023Publication date: October 12, 2023Inventors: Takashi YAMAZAKI, Takumi OYAMA, Shun SUYAMA, Kazutaka NAKAYAMA, Hidetoshi KUMIYA, Hiroshi NAKAGAWA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI
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Patent number: 11780095Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of objects placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each object, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the object by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the object, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.Type: GrantFiled: April 28, 2020Date of Patent: October 10, 2023Assignees: FANUC CORPORATION, PREFERRED NETWORKS, INC.Inventors: Takashi Yamazaki, Takumi Oyama, Shun Suyama, Kazutaka Nakayama, Hidetoshi Kumiya, Hiroshi Nakagawa, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20230259137Abstract: An autonomous vehicle capable of executing a task corresponding to a conveyance instruction by sound is provided. The autonomous vehicle docks with a conveyance target and conveys the conveyance target. The autonomous vehicle includes a docking mechanism configured to dock with the conveyance target, an audio input device, and a controller. The controller is configured to control the docking mechanism to dock with the conveyance target that is identified based on a conveyance instruction acquired via the audio input device, and to control conveyance of the docked conveyance target to a conveyance destination position that is identified based on the conveyance instruction.Type: ApplicationFiled: April 18, 2023Publication date: August 17, 2023Inventors: Koji TERADA, Toru ISOBE, Jun HATORI, Ryosuke OKUTA, Hirotoshi KUNORI
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Patent number: 11712808Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of objects placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each object, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the object by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the object, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.Type: GrantFiled: April 28, 2020Date of Patent: August 1, 2023Assignees: FANUC CORPORATION, PREFERRED NETWORKS. INC.Inventors: Takashi Yamazaki, Takumi Oyama, Shun Suyama, Kazutaka Nakayama, Hidetoshi Kumiya, Hiroshi Nakagawa, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20230111538Abstract: There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.Type: ApplicationFiled: November 11, 2022Publication date: April 13, 2023Applicant: Preferred Networks, Inc.Inventors: Seiya TOKUI, Yuya UNNO, Kenta OONO, Ryosuke OKUTA
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Publication number: 20220414473Abstract: [Problem] To provide a learning device for performing more efficient machine learning. [Solution] A learning device unit according to one embodiment comprises at least one learning device and a connection device for connecting an intermediate learning device having an internal state shared by another learning device unit to the at least one learning device.Type: ApplicationFiled: September 1, 2022Publication date: December 29, 2022Applicant: Preferred Networks, Inc.Inventors: Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Patent number: 11521070Abstract: There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.Type: GrantFiled: September 2, 2016Date of Patent: December 6, 2022Assignee: Preferred Networks, Inc.Inventors: Seiya Tokui, Yuya Unno, Kenta Oono, Ryosuke Okuta
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Patent number: 11475289Abstract: [Problem] To provide a learning device for performing more efficient machine learning. [Solution] A learning device unit according to one embodiment comprises at least one learning device and a connection device for connecting an intermediate learning device having an internal state shared by another learning device unit to the at least one learning device.Type: GrantFiled: June 26, 2015Date of Patent: October 18, 2022Assignee: Preferred Networks, Inc.Inventors: Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20220146993Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.Type: ApplicationFiled: January 26, 2022Publication date: May 12, 2022Inventors: Shougo INAGAKI, Hiroshi NAKAGAWA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI
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Patent number: 11275345Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.Type: GrantFiled: May 9, 2019Date of Patent: March 15, 2022Assignees: FANUC CORPORATION, PREFERRED NETWORKS, INC.Inventors: Shougo Inagaki, Hiroshi Nakagawa, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20210001482Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.Type: ApplicationFiled: September 17, 2020Publication date: January 7, 2021Inventors: Taketsugu TSUDA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI
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Patent number: 10807235Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.Type: GrantFiled: April 1, 2019Date of Patent: October 20, 2020Assignees: FANUC CORPORATION, PREFERRED NETWORKS, INC.Inventors: Taketsugu Tsuda, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20200254622Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of workpieces placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each workpiece, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the workpiece by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the workpiece, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.Type: ApplicationFiled: April 28, 2020Publication date: August 13, 2020Inventors: Takashi YAMAZAKI, Takumi OYAMA, Shun SUYAMA, Kazutaka NAKAYAMA, Hidetoshi KUMIYA, Hiroshi NAKAGAWA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI
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Patent number: 10717196Abstract: A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of workpieces placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each workpiece, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the workpiece by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the workpiece, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.Type: GrantFiled: July 29, 2016Date of Patent: July 21, 2020Assignees: FANUC CORPORATION, PREFERRED NETWORKS, INC.Inventors: Takashi Yamazaki, Takumi Oyama, Shun Suyama, Kazutaka Nakayama, Hidetoshi Kumiya, Hiroshi Nakagawa, Daisuke Okanohara, Ryosuke Okuta, Eiichi Matsumoto, Keigo Kawaai
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Publication number: 20190378018Abstract: There is provided an information processing device which efficiently executes machine learning. The information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines Forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each Forward processing and Backward processing associated with each Forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the Forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for Backward processing in a layer associated with the code based on the association relationship stored in the storage unit.Type: ApplicationFiled: August 26, 2019Publication date: December 12, 2019Applicant: Preferred Networks, Inc.Inventors: Seiya TOKUI, Yuya UNNO, Kenta OONO, Ryosuke OKUTA
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Publication number: 20190265657Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.Type: ApplicationFiled: May 9, 2019Publication date: August 29, 2019Inventors: Shougo INAGAKI, Hiroshi NAKAGAWA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI
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Publication number: 20190224844Abstract: A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.Type: ApplicationFiled: April 1, 2019Publication date: July 25, 2019Inventors: Taketsugu TSUDA, Daisuke OKANOHARA, Ryosuke OKUTA, Eiichi MATSUMOTO, Keigo KAWAAI