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公开(公告)号:US20200324975A1
公开(公告)日:2020-10-15
申请号:US16380351
申请日:2019-04-10
Applicant: ABB Schweiz AG
Inventor: Gregory A. Cole , Harald Staab , Thomas A. Fuhlbrigge , Carlos Martinez , Sangeun Choi , Gregory F. Rossano , Jianjun Wang
IPC: B65G1/137
Abstract: A product manipulation tool for interacting with products and containers at, for example, a retail facility can include a securing mechanism to secure an exposed portion of the container with respect to a horizontal surface such as a shelf. The product manipulation tool can also include a stabilizing device to stabilize the container with respect to the horizontal surface prior to securing the container. The product manipulation tool can also include a support structure for insertion underneath the container to support the load. The stabilizing mechanism may lift or tilt the container prior to insertion of the support structure. In an example, the product manipulation tool may be disposed on a mobile unit configured for locomotion about the retail facility.
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公开(公告)号:US10570736B2
公开(公告)日:2020-02-25
申请号:US15178024
申请日:2016-06-09
Applicant: ABB Schweiz AG
Inventor: Jianjun Wang , Carlos Martinez , Carlos Morato , Biao Zhang , Thomas Fuhlbrigge , Will Eakins , Sang Choi , Daniel Lasko , Jan Nyqvist , Remus Boca
Abstract: In one embodiment, the present disclosure provides a robot automated mining method. In one embodiment, a method includes a robot positioning a charging component for entry into a drill hole. In one embodiment, a method includes a robot moving a charging component within a drill hole. In one embodiment, a method includes a robot filling a drill hole with explosive material. In one embodiment, a method includes operating a robot within a mining environment.
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公开(公告)号:US20190202055A1
公开(公告)日:2019-07-04
申请号:US15902142
申请日:2018-02-22
Applicant: ABB Schweiz AG
Inventor: Jianjun Wang , Remus Boca , Biao Zhang , Carlos Martinez , Thomas Fuhlbrigge
Abstract: Unique systems, methods, techniques and apparatuses of a robot training system are disclosed. One exemplary embodiment is an industrial robot training system comprising a mixed reality display device structured to superimpose a virtual scene on a real-world view of a real-world scene including a plurality of physical objects including an industrial robot, a video input device, and a computing device. The computing device is structured to detect physical objects using video output from the video input device, generate virtual objects using the detected physical objects, simulate a virtual robot path, determine one movement of the series of robot movements causes a collision, adjust the virtual robot path so as to avoid the collision between the two virtual objects of the plurality of virtual objects, and program the industrial robot to perform a real robot path using the adjusted virtual robot path.
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公开(公告)号:US10173324B2
公开(公告)日:2019-01-08
申请号:US14941823
申请日:2015-11-16
Applicant: ABB SCHWEIZ AG
Inventor: Jianjun Wang , Biao Zhang , Carlos Martinez , Carlos Winsor Morato , Remus Boca
Abstract: Robot positioning is facilitated by obtaining, for each time of a first sampling schedule, a respective indication of a pose of a camera system of a robot relative to a reference coordinate frame, the respective indication of the pose of the camera system being based on a comparison of multiple three-dimensional images of a scene of an environment, the obtaining providing a plurality of indications of poses of the camera system; obtaining, for each time of a second sampling schedule, a respective indication of a pose of the robot, the obtaining providing a plurality of indications of poses of the robot; and determining, using the plurality of indications of poses of the camera system and the plurality of indications of poses of the robot, an indication of the reference coordinate frame and an indication of a reference point of the camera system relative to pose of the robot.
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公开(公告)号:US20170356730A1
公开(公告)日:2017-12-14
申请号:US15581787
申请日:2017-04-28
Applicant: ABB Schweiz AG
Inventor: Jianjun Wang , Carlos Martinez , Carlos Morato , Biao Zhang , Thomas Fuhlbrigge , Will Eakins , Sang Choi , Daniel Lasko , Jan Nyqvist , Remus Boca
Abstract: In one embodiment, the present disclosure provides a robot automated mining method. In one embodiment, a method includes a robot positioning a charging component for entry into a drill hole. In one embodiment, a method includes a robot moving a charging component within a drill hole. In one embodiment, a method includes a robot filling a drill hole with explosive material. In one embodiment, a method includes operating a robot within a mining environment.
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公开(公告)号:US11185980B2
公开(公告)日:2021-11-30
申请号:US16385470
申请日:2019-04-16
Applicant: ABB Schweiz AG
Inventor: Jinmiao Huang , Carlos Martinez , Sangeun Choi
IPC: B25J9/16
Abstract: Methods, systems, and software for controlling object picking and placement by a robot system are disclosed. The method includes assigning machine learning training data of a machine learning model for an object. The machine learning training data includes a plurality of known grasp location labels assigned to the object positioned in a plurality of different object poses. The method includes providing the object in a work space of the robot system. For the object in the work space in a first pose of the plurality of different object poses, the method includes: mapping a first candidate grasp location on the object; executing robotic movements for the first candidate grasp location on the object; and evaluating a result of the executing for the first candidate grasp location according to at least one predetermined performance criteria.
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公开(公告)号:US10378353B2
公开(公告)日:2019-08-13
申请号:US15581786
申请日:2017-04-28
Applicant: ABB Schweiz AG
Inventor: Jianjun Wang , Carlos Martinez , Carlos Morato , Biao Zhang , Thomas Fuhlbrigge , Will Eakins , Sang Choi , Daniel Lasko , Jan Nyqvist , Remus Boca
Abstract: In one embodiment, the present disclosure provides a robot automated mining method. In one embodiment, a method includes a robot positioning a charging component for entry into a drill hole. In one embodiment, a method includes a robot moving a charging component within a drill hole. In one embodiment, a method includes a robot filling a drill hole with explosive material. In one embodiment, a method includes operating a robot within a mining environment.
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公开(公告)号:US11440183B2
公开(公告)日:2022-09-13
申请号:US16366700
申请日:2019-03-27
Applicant: ABB Schweiz AG
Inventor: Jinmiao Huang , Carlos Martinez , Sangeun Choi , Thomas A. Fuhlbrigge
Abstract: For training an object picking robot with real and simulated grasp performance data, grasp locations on an object are assigned based on object physical properties. A simulation experiment for robot grasping is performed using a first set of assigned locations. Based on simulation data from the simulation, a simulated object grasp quality of the robot is evaluated for each of the assigned locations. A first set of candidate grasp locations on the object is determined based on data representative of simulated grasp quality from the evaluation. Based on sensor data from an actual experiment for the robot grasping using each of the candidate grasp locations, an actual object grasp quality is evaluated for each of the candidate locations.
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公开(公告)号:US11312581B2
公开(公告)日:2022-04-26
申请号:US16385592
申请日:2019-04-16
Applicant: ABB Schweiz AG
Inventor: Jinmiao Huang , Sangeun Choi , Carlos Martinez
IPC: B65G47/90
Abstract: A grasping system includes a robotic arm having a gripper. A fixed sensor monitors a grasp area and an onboard sensor moves with the gripper also monitors the area. A controller receives information indicative of a position of an object to be grasped and operates the robotic arm to bring the gripper into a grasp position adjacent the object based on information provided by the fixed sensor. The controller is also programmed to operate the gripper to grasp the object in response to information provided by the first onboard sensor.
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公开(公告)号:US20200331709A1
公开(公告)日:2020-10-22
申请号:US16385592
申请日:2019-04-16
Applicant: ABB Schweiz AG
Inventor: Jinmiao Huang , Sangeun Choi , Carlos Martinez
IPC: B65G47/90
Abstract: A grasping system includes a robotic arm having a gripper. A fixed sensor monitors a grasp area and an onboard sensor moves with the gripper also monitors the area. A controller receives information indicative of a position of an object to be grasped and operates the robotic arm to bring the gripper into a grasp position adjacent the object based on information provided by the fixed sensor. The controller is also programmed to operate the gripper to grasp the object in response to information provided by the first onboard sensor.
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