公开(公告)号：US20240195649A1

公开(公告)日：2024-06-13

申请号：US18444002

申请日：2024-02-16

Applicant: MILWAUKEE ELECTRIC TOOL CORPORATION

Inventor： Cole A. Conrad ,  Thomas G. Simeone ,  Matthew J. Mergener ,  Matthew P. Wycklendt

IPC: H04L12/28 ,  B25B21/00 ,  B25B21/02 ,  B25B23/147 ,  B25F5/00 ,  G05B19/423 ,  G05B19/425 ,  G05D23/00 ,  G07C3/02 ,  H02P6/16

CPC classification number: H04L12/2807 ,  B25B21/00 ,  B25B21/02 ,  B25B23/1475 ,  B25F5/00 ,  G05B19/425 ,  G05D23/00 ,  G07C3/02 ,  G05B19/423 ,  G05B2219/36494 ,  H02P6/16

Abstract: Systems and methods of operating power tools. The method includes receiving a command to start a recording mode at a first electronic processor of a first power tool, and receiving at the first electronic processor, a measured parameter from a sensor of the first power tool while a first motor of the first power tool is operating. The method also includes generating a recorded motor parameter by recording the measured parameter, on a first memory of the first power tool, when the first power tool operates in the recording mode, and transmitting, with a first transceiver of the first power tool, the recorded motor parameter. The method further includes receiving the recorded motor parameter at an external device, transmitting the recorded motor parameter to a second power tool via the external device, and receiving the recorded motor parameter via a second transceiver of the second power tool.

公开(公告)号：US11900223B2

公开(公告)日：2024-02-13

申请号：US16722845

申请日：2019-12-20

Applicant: Westinghouse Electric Company LLC

Inventor： Scott Edward Sidener ,  Clarence Lee Worrell ,  Whitney Bopp Sintic

IPC: G06N20/00 ,  G06N5/04 ,  G05B19/425 ,  G05B23/02 ,  G01M13/045

CPC classification number: G06N20/00 ,  G05B19/425 ,  G05B23/0221 ,  G06N5/04 ,  G01M13/045

Abstract: A portable real-time system monitoring device is advantageously capable of autonomously learning the normal behavior of any system and of alerting the user or taking other action when the system becomes unpredictable or otherwise undesirable. No prior knowledge about the system is needed by the device. This is because the device uses a combination of machine learning and statistical process control to autonomously develop its own model of the monitored system and then autonomously monitor the system for unexpected behavior. Therefore, without any prior analysis or model creation, it can be deployed on any system, and it can be reused on any other system after it has been reset. The advantageous device of the disclosed and claimed concept performs this function in either real time or near real-time.

公开(公告)号：US11839971B2

公开(公告)日：2023-12-12

申请号：US17381365

申请日：2021-07-21

Applicant: Seiko Epson Corporation

Inventor： Hiroki Murakami ,  Takahiko Noda

IPC: B25J9/16 ,  B25J9/00 ,  G05B19/425

CPC classification number: B25J9/0081 ,  B25J9/1651 ,  G05B19/425 ,  G05B2219/40123

Abstract: A teaching control method includes displaying three or more plurality of teaching points on a display section, acquiring a result of classification processing for classifying the plurality of teaching points into one or more teaching point groups, receiving an operation parameter for each teaching point group, and setting an operation value for each teaching point group using the operation parameter.

公开(公告)号：US11682097B2

公开(公告)日：2023-06-20

申请号：US17086671

申请日：2020-11-02

Applicant: MP ZenRobotics Oy

Inventor： Tuomas Lukka ,  Janne Kujala

IPC: G06T1/00 ,  B25J9/00 ,  B25J9/02 ,  B25J9/16 ,  G06F16/432 ,  G05B19/425 ,  G06K7/14 ,  B07C5/342 ,  B25J19/02 ,  G06N20/00

CPC classification number: G06T1/0014 ,  B07C5/3422 ,  B25J9/0093 ,  B25J9/026 ,  B25J9/163 ,  B25J19/023 ,  G05B19/425 ,  G06F16/434 ,  G06K7/1404 ,  G06K7/1447 ,  B25J9/1697 ,  G05B2219/39106 ,  G06N20/00

Abstract: Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked. When images are acquired after picking they can be imaged accurately and the information about picking and also dropping success can be improved by using acquired images as a feedback in the machine learning arrangement being used for controlling the picking and dropping of objects.

公开(公告)号：US11433537B2

公开(公告)日：2022-09-06

申请号：US16458193

申请日：2019-07-01

Applicant: FANUC Corporation

Inventor： Seigo Kato ,  Yoshiharu Nagatsuka ,  Yuuki Kimoto

IPC: B25J9/16 ,  G05B19/425

Abstract: An automatic path generation device includes a preprocessing unit creating teacher data based on a temporary motion path which is a motion path between a plurality of motion points where a robot moves and which is automatically generated with a motion planning algorithm and an actual motion path which is a motion path between the motion points and which is created by a skilled worker and a motion path learning unit generating a learned model which has learned a difference between the temporary motion path and the actual motion path with teacher data created by the preprocessing unit.

公开(公告)号：US11213945B2

公开(公告)日：2022-01-04

申请号：US15898663

申请日：2018-02-19

Applicant: KABUSHIKI KAISHA YASKAWA DENKI

Inventor： Koichi Kuwahara ,  Yoshifumi Onoyama ,  Kenichi Yasuda ,  Wataru Watanabe

IPC: B25J9/16 ,  G05B19/4061 ,  G06F30/20 ,  B25J13/08 ,  G05B19/425 ,  G06T1/00

Abstract: A robot simulator includes a storage device that stores model information related to the robot and an obstacle in the vicinity of the robot, and an acquisition device that obtains first input information defining a start position and an end position of operation of the robot. A processing device generates a path for moving the distal end portion of the robot from the start position to the end position while avoiding collisions between the robot and the obstacle based on the first input information and the model information. The processing device also generates image data including an illustration of the obstacle and an index indicating a via-point of the path.

公开(公告)号：US11137746B2

公开(公告)日：2021-10-05

申请号：US16703290

申请日：2019-12-04

Applicant: Intel Corporation

Inventor： Maximilian Von Tschirschnitz ,  Dibyendu Ghosh ,  Karthik Narayanan ,  Arjun Ram S P ,  Marcel Wagner ,  Vinayak Honkote

IPC: G05B19/425 ,  G05B19/418

Abstract: Systems, apparatus, and methods to coordinate a robot swarm include an analyzer to create a planning message based on data associated with a first bot and a second bot. The planning message is communicated to the swarm from a first source. In addition, a scheduler issues a first assignment of a first operation slot and a first role to the first bot based on the planning message, issues a second assignment of a second operation slot and a second role to the second bot based on the planning message, and creates a decision message including the first assignment and the second assignment. The decision message is communicated to the swarm from a second source different than the first source.

公开(公告)号：US10935968B2

公开(公告)日：2021-03-02

申请号：US16168172

申请日：2018-10-23

Applicant: FANUC CORPORATION

Inventor： Yuelai Wang ,  Soichi Arita

IPC: G05B19/04 ,  G05B19/18 ,  G05B19/425 ,  B25J9/16 ,  G05B19/408

Abstract: A robot includes a robot control unit configured to control an operation of a robot, wherein the robot control unit is configured to set a coordinate system of the robot installed on a reference flat surface using measurement results of at least position coordinates in a vertical direction of three or more measurement points on the reference flat surface on which the robot is installed and measurement results of position coordinates of a plurality of reference reflection portions provided on a base portion of the robot.

公开(公告)号：US20200246975A1

公开(公告)日：2020-08-06

申请号：US16481942

申请日：2018-06-08

Applicant: SIEMENS INDUSTRY SOFTWARE LTD.

Inventor： MOSHE HAZAN ,  ZOHAR BENGAD ,  GILLES VELAY ,  RONI BLACHER ,  YAEL SEROR ,  GUY BARAK ,  YONA EILAT

IPC: B25J9/16 ,  B25J9/00 ,  G05B19/425

Abstract: Systems and a method for teaching a robot in reaching a given target location. The system and method include receiving inputs on a representation of a given target location to be reached by the robot. A check is made whether the given target location is singular. If the given target location is non-singular, the teaching of the robot is effected by associating with the given target location a selected configuration. If the given target is singular, the teaching of the robot is effected by associating with the given target location an assigned joint-values solution.

公开(公告)号：US10668619B2

公开(公告)日：2020-06-02

申请号：US15995384

申请日：2018-06-01

Applicant: FANUC CORPORATION

Inventor： Tetsuji Ueda

IPC: G06F19/00 ,  B25J9/16 ,  B25J13/06 ,  G05B19/425

Abstract: A machine learning device of a controller observes, as state variables expressing a current state of an environment, teaching position compensation amount data indicating a compensation amount of a teaching position in control of a robot according to the teaching position and data indicating a disturbance value of each of the motors of the robot in the control of the robot, and acquires determination data indicating an appropriateness determination result of the disturbance value of each of the motors of the robot in the control of the robot. Then, the machine learning device learns the compensation amount of the teaching position of the robot in association with the motor disturbance value data by using the observed state variables and the determination data.