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公开(公告)号:US20230330847A1
公开(公告)日:2023-10-19
申请号:US18042490
申请日:2021-08-12
Applicant: ABB Schweiz AG
Inventor: Sandro Schoenborn , Andrei Dan , Robert René Maria Birke , Philipp Sommer , Thomas Locher
IPC: B25J9/16
CPC classification number: B25J9/163 , B25J9/1697
Abstract: A method and system are provided for training a robot to recognize objects in the workspace of the robot. Objects in the workspace are identified by the user, and the robot determines candidate objects. Feedback may be used in order for the user to confirm whether the candidate object determined by the robot system matches the object intended by the user. Gripping information for the object may also be identified by the user to train the robot how to grip the object.
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公开(公告)号:US20240020149A1
公开(公告)日:2024-01-18
申请号:US18347750
申请日:2023-07-06
Applicant: ABB Schweiz AG
Inventor: Sandro Schoenborn , Robert René Maria Birke , Thanikesavan Sivanthi
CPC classification number: G06F9/45558 , G06F1/08 , G06F1/12 , G06F2009/4557
Abstract: A method for automatically providing a time signal to containers in an operating system level virtualization or to virtual machines, the method including: —creating a pool of clocks; executing one or more containers in an operating system level virtualization or one or more virtual machines running on an executing hardware device; allocating one or more clocks of the pool of clocks to client containers in the one or more containers or to client virtual machines of the one or more virtual machines, thereby obtaining allocated clocks allocated to the client containers or the client virtual machines; wherein each of the allocated clocks provides a time signal in a time domain to at least one of the client containers or to at least one of the client virtual machines.
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公开(公告)号:US11812765B2
公开(公告)日:2023-11-14
申请号:US18005840
申请日:2021-06-22
Applicant: ABB Schweiz AG , Planted Foods AG , ETH Zürich
Inventor: Chau-Hon Ho , Vedrana Spudic , Kim Listmann , Sandro Schoenborn , Elsi-Mari Borrelli , Philipp Sommer , Mehmet Mercangoez , Erich J. Windhab , Eric Stirnemann , Lukas Böni , Patrick Rühs
Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.
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公开(公告)号:US20230373098A1
公开(公告)日:2023-11-23
申请号:US18042558
申请日:2021-08-12
Applicant: ABB Schweiz AG
Inventor: Andrei Dan , Robin Verschueren , Georgia Giannopoulou , Robert René Maria Birke , Thomas Locher , Elsi-Mari Borrelli , Philipp Sommer , Sandro Schoenborn
CPC classification number: B25J13/003 , B25J9/1697 , B25J9/1664
Abstract: A method and system are provided for programming robots by operators without expertise in specialized robot programming languages. In the method, inputs are received from the operator generically describing a desired robot movement. The system then uses the operator inputs to translate the desired robot movement into software commands that direct the robot to perform the desired robot movement. The robot may then be programmed with the software commands and operated to perform the desired robot movement.
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公开(公告)号:US20230225363A1
公开(公告)日:2023-07-20
申请号:US18005840
申请日:2021-06-22
Applicant: ABB Schweiz AG
Inventor: Chau-Hon Ho , Vedrana Spudic , Kim Listmann , Sandro Schoenborn , Elsi-Mari Borrelli , Philipp Sommer , Mehmet Mercangoez , Erich J. Windhab , Eric Stirnemann , Lukas Böni , Patrick Rühs
Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.
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公开(公告)号:US20220407945A1
公开(公告)日:2022-12-22
申请号:US17756034
申请日:2020-11-12
Applicant: ABB Schweiz AG
Inventor: Sandro Schoenborn , Manuel Oriol , Maciej Orman
Abstract: In order to compress sensor data for transmission, one or several operational parameters of a machine (20) having a rotating component are received. A compression technique is applied to a spectral representation of the sensor data to generate a compressed sensor data representation. The applied compression technique is dependent on the one or several operational parameters of the machine (20).
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