EP3703914A1 - Verfahren und steuermittel zum steuern einer roboteranordnung - Google Patents
Verfahren und steuermittel zum steuern einer roboteranordnungInfo
- Publication number
- EP3703914A1 EP3703914A1 EP18793415.3A EP18793415A EP3703914A1 EP 3703914 A1 EP3703914 A1 EP 3703914A1 EP 18793415 A EP18793415 A EP 18793415A EP 3703914 A1 EP3703914 A1 EP 3703914A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- trajectory
- robot
- cartesian
- control values
- poses
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1656—Program controls characterised by programming, planning systems for manipulators
- B25J9/1664—Program controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/02—Program-controlled manipulators characterised by movement of the arms, e.g. cartesian coordinate type
- B25J9/023—Cartesian coordinate type
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1602—Program controls characterised by the control system, structure, architecture
- B25J9/1607—Calculation of inertia, jacobian matrixes and inverses
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1628—Program controls characterised by the control loop
- B25J9/1643—Program controls characterised by the control loop redundant control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1628—Program controls characterised by the control loop
- B25J9/1653—Program controls characterised by the control loop parameters identification, estimation, stiffness, accuracy, error analysis
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1656—Program controls characterised by programming, planning systems for manipulators
- B25J9/1669—Program controls characterised by programming, planning systems for manipulators characterised by special application, e.g. multi-arm co-operation, assembly, grasping
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1679—Program controls characterised by the tasks executed
- B25J9/1687—Assembly, peg and hole, palletising, straight line, weaving pattern movement
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/39—Robotics, robotics to robotics hand
- G05B2219/39358—Time optimal control along path for singular points, having veloctiy constraints
Definitions
- the present invention relates to a method and a control means for controlling a robot arrangement with at least one robot arm and a
- Robot arrangement with the control means Robot arrangement with the control means.
- Axis coordinates are determined in the interpolation cycle while resolving the redundancy. This redundancy resolution depends strongly on the discretization.
- An object of the present invention is to improve the control of a robot assembly.
- Claims 8-10 provide a control means or computer program product Implementation of a method described here or a robot arrangement with a control means described here under protection.
- the subclaims relate to advantageous developments.
- a robot arrangement has one or more robot arms, one or more of which in one embodiment has one or more, in particular at least three, in one embodiment at least six, in a development at least seven, axes or Joints, in particular rotary axes or joints, have or have, in one embodiment in each case by a, in particular electromotive drive, are movable or adjustable or moved or adjusted.
- a method of controlling the robot assembly comprises the steps of:
- the one or more of the robot arrangement-fixed reference (s) can (in each case) have a TCP ("Tool Center Point") of the (corresponding) robot arm, in particular.
- TCP Tool Center Point
- Cartesian poses are predefined (in particular "manual") by, in particular, manual approach with the robot arrangement and storage of parameters.
- Cartesian poses can also be predefined in a model-based manner, in particular by means of a Simulation, based on CAD data or the like (so-called offline programming).
- the web may have one or more of the predetermined Cartesian poses. Additionally or alternatively, in one embodiment, the web may be spaced from one or more of the predetermined Cartesian poses, in particular, sand over certain poses, or the like.
- the axis space of the robot arrangement comprises one or more, in one embodiment all, (possible) axis or joint coordinate values, in particular axle or joint positions, in particular angles, of the
- Robot arrangement in particular of or one or more, in particular all, robot arms, which are referred to in the present case in the usual way by q, it may be defined or clamped in particular by this.
- a trajectory in the axle space can be several points of the axle space or
- the robot assembly has corresponding poses of the robot assembly, in particular interpolate. In one embodiment, it is determined in parameterized form, preferably based on one or more polynomials, spline functions or the like.
- a velocity profile (along the robot assembly) of the trajectory.
- the sampling of the trajectory can be improved.
- the majority of the predetermined Cartesian poses of the web, based on the trajectory in the axis space of the robot assembly is determined, three or more, in particular except one start and one final one or more predetermined intermediate points.
- a complete web can advantageously be optimized as a whole.
- the majority of the Cartesian poses of the web in one embodiment are predetermined by the robot arrangement even before the start of the web, stored in a development, in particular non-volatile, in one embodiment they are used to determine the Trajectory correspondingly retrieved from one, in particular non-volatile, memory.
- Achsraum on the basis of the same predetermined Cartesian poses leads, advantageously reduced. Additionally or alternatively, this can reduce the computing load during runtime or when the web is lowered.
- the method comprises the steps:
- the same trajectory is thus first determined in the same way before each departure of the web, and then this trajectory is used to control the robot arrangement.
- control values are determined anew starting from a placement point of the trajectory which is at a distance from the beginning of the trajectory and which is not approached beforehand on the trajectory. In other words, the same trajectory is completely re-determined in the same way as in the primary determination, but then only a part starting with a touchdown point for controlling the
- Scanning in one embodiment includes determining discrete values, particularly by evaluating a function with corresponding discrete values
- the same trajectory can be sampled or driven in a situation-adapted manner.
- it may run at a slower rate
- the trajectory for determining control values is sampled in a (current) interpolation cycle of a drive control of the robot arrangement, wherein for the sake of a more compact representation in general also a regulation is generally referred to as a control.
- the primary and / or redetermining of control values comprises: correcting one or more points of the primary or re-determined trajectory to a control value if a deviation of a Cartesian pose corresponding to that Point of the trajectory corresponds, from a corresponding point which, in a sensor-assisted embodiment with respect to the path corrected with the previously predetermined poses, exceeds a predetermined tolerance value, in particular dissolving the redundancy of the
- the trajectory is determined in one embodiment such that at least at predetermined discrete trajectory points, in particular interpolation or support points, a deviation of a Cartesian pose corresponding to the respective point of the trajectory, from a corresponding point of the web with the predetermined poses a predetermined Tolerance value does not exceed.
- control values can lead to undesirably large deviations.
- this may be due to the fact that, in the current determination of control values, the trajectory is scanned differently, in particular finer, and at these (other, in particular additional) sampling points the
- Deviation is excessively large. This can be counteracted by appropriate correction of the trajectory points to or on the control values (n).
- the currently desired or desired path can also deviate from the previously specified poses, in particular if it is modified sensor-supported in one embodiment.
- taught-target poses can be changed on the basis of sensory detected deviations of a workpiece to be machined or the like. Then, although the trajectory depicts the prespecified or taught target poses, it does not depict the sensor-supported changed target poses or the sensor-supported corrected path with these sensor-supported changed poses. Again, by appropriate correction of the trajectory points to or on the control values (n) can be counteracted.
- the primary or renewed determination of the trajectory comprises: planning, in particular optimizing, the path based on the poses and / or a work program for the robot arrangement.
- this optimization may include, in particular, optimizing the shape of the web, for example to avoid collisions or the like.
- the poses can be traversed in one embodiment on a particularly advantageous, globally optimized path.
- Execution, in particular non-volatile, stored, work program for the Robot assembly can be given in one embodiment, the desired path easily, reliably and / or with low storage space requirements.
- a command "LIN (xj)" the linear approach of a
- pose xj be given in cartesian space simply, reliably and / or with little storage space required.
- the web is based on a
- Determining the trajectory to: Determine, in particular iterative and / or
- linearization can be advantageously used, in particular also in the case of a linearization
- An incremental determination of discrete trajectory points in one embodiment includes determining discrete trajectory points based on previous trajectory points and (determined) increments.
- Robot arrangement along) of the trajectory based on a dynamic model of the robot assembly.
- the shape of the trajectory first determined on the basis of the web and then optimized a velocity profile along this trajectory based on a dynamic model of the robot assembly.
- the redundancy is under
- Quality criterion in particular a distance of axis areas to be avoided and / or desired Cartesian poses resolved, in particular by a zero space projection.
- a redundancy of the robot assembly with respect to the web comprises in one
- Axis coordinates of the robot arrangement with respect to the predetermined poses can result, in particular in the case of six-dimensional predetermined poses, in that the robot arrangement has two or more, in particular cooperating,
- Robot arms having a total of at least seven axes and / or at least one robotic arm has at least seven axes, which is correspondingly advantageous applications of the present invention.
- a robotic arm having a total of at least seven axes and / or at least one robotic arm has at least seven axes, which is correspondingly advantageous applications of the present invention.
- a control means for controlling the robot arrangement, in particular hardware and / or software, in particular program technology, for carrying out a method described here and / or comprises:
- control means or its agent comprises:
- control means or its means for the primary and / or redetermination of control values comprises:
- control means or its means for primary and / or redetermining the trajectory comprises:
- Means for resolving a redundancy of the robot arrangement with respect to the path in particular taking into account a quality criterion specified in the Cartesian and / or Achsraum, in particular a distance of axis areas to be avoided and / or desired Cartesian poses, in particular by a zero space projection.
- a means in the sense of the present invention may be designed in terms of hardware and / or software, in particular a data or signal-connected, preferably digital, processing, in particular microprocessor unit (CPU) and / or a memory and / or bus system or multiple programs or program modules.
- the CPU may be configured to execute instructions implemented as a program stored in a memory system, to capture input signals from a data bus, and / or
- a storage system may comprise one or more, in particular different, storage media, in particular optical, magnetic, solid state and / or other non-volatile media.
- the program may be such that it is capable of embodying or executing the methods described herein so that the CPU may perform the steps of such methods and thereby control, in particular, the robot arrangement.
- a computer program product may include, in particular, a non-volatile storage medium for storing a program or a program stored thereon, wherein a run This program, a control means or a controller, in particular a
- the present invention can be used particularly advantageously in redundant robots. Equally, it can also be used in particular in the determination of the backward transformation from the Cartesian into the axis space in the case of non-analytically invertible forward transformation function, in particular in planning (in particular with constant discretization) or also in the
- FIG. 1 shows a robot arrangement with two robot arms and a control means for controlling the robot arrangement according to an embodiment of the present invention
- FIG. 2 shows a method for controlling the robot arrangement according to FIG.
- Embodiment of the present invention. 1 shows by way of example a robot arrangement with two respective seven-axis robot arms 1, 2 and a control means in the form of a robot controller 5 for controlling the robot arrangement according to an embodiment of the present invention, which carries out a method explained below with reference to FIG.
- both robot arms 1, 2 each have a linear axis with an axis coordinate q 1: 1 or q 2 , i and six lathe axes, of which the axis coordinate or joint angle qi, 2 , qi, 3, qu, 2,2 is an example , 2 , 3 and q 2 , 7 are designated.
- the master robot 1 performs a workpiece 3, which the slaver robot 2 is to machine by means of a tool 4.
- Three-dimensional positions and orientations of a TCPs of a seven- or multi-axis robotic arm or merely the three-dimensional position of a TCP of a six-axis robot arm are taught.
- the forward transformation VT or Jacobimatrix J can be determined analytically and, in a linear approximation, converts axis coordinate increments Aq into
- axis coordinates can be determined incrementally such that they primarily approximate a Cartesian orbit x (s) as well as possible, and additionally realize lower-ranking or, with a lower priority, desired axis coordinate changes ⁇ / opt:
- axis changes take account of or represent a quality criterion given in the axis space, for example maximizing a distance of the axis coordinates of axis areas to be avoided: with a scalar weighting ⁇ of a function w (cy), which increases (clearly) in the vicinity of axis areas to be avoided and the known Nabla operator V.
- Axis coordinate changes consider or map a quality criterion given in Cartesian space, for example desired Cartesian poses x op t of the workpiece 3 in incremental form:
- the controller 5 Prior to each departure of the taught poses X according to the work program, the controller 5 reads in the taught poses X in a step S10 and plans the Cartesian trajectory x (s) in a step S20 based on these poses and the work program.
- the controller 5 always determines in a similar manner in a step S30
- step S30 the incrementally determined trajectory point q are interpolated in step S30 by spline functions which are stored. Additionally or alternatively, an optimization of the velocity profile s ⁇ s) along the trajectory can take place in step S30.
- a step S50 the deviation of the Cartesian pose corresponding to the respective sampled trajectory point from a corresponding point of the planned trajectory is determined, and in a step S60, the sampled trajectory points or preliminary control values are finalized
- the planned path may additionally be corrected or be sensor-assisted, in this case (S50: "Y"). For example, be moved due to sensor-detected deviations of the workpiece 3 or the like or be.
- step S70 the drives of the robot arms 1, 2 are controlled on the basis of these control values until the trajectory has completely run off (S80: "Y").
- step S40 can also start at a touchdown point which is at a distance from the start of the trajectory and which is not approached beforehand on the trajectory.
- the Cartesian trajectory is planned (S20) and for these under redundancy resolution and possibly recursive minimization of a deviation trajectory in the
- the robot arrangement-fixed reference is the TCP of the slave robot 2 whose Cartesian poses are predefined relative to the workpiece 3 (S5). This is, as already mentioned, only exemplary, in the same way, for example, absolute Cartesian poses of a TCP of a robot arm relative to the environment or
Landscapes
- Engineering & Computer Science (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Automation & Control Theory (AREA)
- Manipulator (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102017010244.9A DE102017010244A1 (de) | 2017-11-03 | 2017-11-03 | Verfahren und Steuermittel zum Steuern einer Roboteranordnung |
| PCT/EP2018/079380 WO2019086339A1 (de) | 2017-11-03 | 2018-10-26 | Verfahren und steuermittel zum steuern einer roboteranordnung |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3703914A1 true EP3703914A1 (de) | 2020-09-09 |
Family
ID=64017375
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP18793415.3A Pending EP3703914A1 (de) | 2017-11-03 | 2018-10-26 | Verfahren und steuermittel zum steuern einer roboteranordnung |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11826912B2 (de) |
| EP (1) | EP3703914A1 (de) |
| KR (1) | KR102725371B1 (de) |
| CN (1) | CN111405966B (de) |
| DE (1) | DE102017010244A1 (de) |
| WO (1) | WO2019086339A1 (de) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102021201024B3 (de) | 2021-02-04 | 2022-05-12 | Kuka Deutschland Gmbh | Verfahren und System zum Betreiben eines Roboters |
| US20260077496A1 (en) * | 2022-10-05 | 2026-03-19 | Telefonaktiebolaget Lm Ericsson (Publ) | Control node and method performed therein |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102004021468A1 (de) * | 2004-04-30 | 2005-11-24 | Kuka Roboter Gmbh | Verfahren zum Steuern einer Maschine, insbesondere eines Industrieroboters |
| DE102004044457A1 (de) * | 2004-09-15 | 2006-03-30 | Wiest Ag | Verfahren zur Kompensation von Änderungen der Greiferkinematik eines Roboters |
| DE102008058298B4 (de) * | 2008-04-29 | 2016-01-14 | Siemens Aktiengesellschaft | Verfahren zur rechnergestützten Bewegungsplanung eines Roboters |
| DE102008027485B4 (de) * | 2008-06-09 | 2010-02-11 | Gsi Helmholtzzentrum Für Schwerionenforschung Gmbh | Deposition einer Solldosisverteilung in einem zyklisch bewegten Zielgebiet |
| DE102008042612A1 (de) * | 2008-10-06 | 2010-04-08 | Kuka Roboter Gmbh | Industrieroboter und Bahnplanungsverfahren zum Steuern der Bewegung eines Industrieroboters |
| WO2010057528A1 (en) * | 2008-11-19 | 2010-05-27 | Abb Technology Ab | A method and a device for optimizing a programmed movement path for an industrial robot |
| DE102009049172B4 (de) * | 2009-10-13 | 2019-07-25 | Kuka Roboter Gmbh | Verfahren und Vorrichtung zur Steuerung eines Manipulators |
| CN103492133B (zh) * | 2011-04-19 | 2016-04-13 | Abb研究有限公司 | 具有运动冗余臂的工业机器人和用于控制该机器人的方法 |
| DE102011082800B4 (de) * | 2011-09-15 | 2016-04-14 | Convergent Information Technologies Gmbh | System und Verfahren zur automatisierten Erstellung von Roboterprogrammen |
| US9327401B2 (en) * | 2012-09-10 | 2016-05-03 | Fanuc America Corporation | Method of controlling a redundant robot |
| EP2845696B1 (de) * | 2013-09-10 | 2017-05-17 | Siemens Aktiengesellschaft | Bearbeitungsmaschine mit redundanten Achsen und Auflösung der Redundanz in Echtzeit |
| DE102013222456A1 (de) * | 2013-11-05 | 2015-05-07 | Kuka Laboratories Gmbh | Verfahren zum Programmieren von Bewegungsabläufen eines redundanten Industrieroboters und zugehöriger Industrieroboter |
| DE102014103370B4 (de) * | 2014-03-12 | 2017-08-24 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Verfahren und Vorrichtung zur zeitdiskreten Steuerung eines Manipulators |
| DE102014213262A1 (de) * | 2014-07-08 | 2016-01-14 | Kuka Roboter Gmbh | Maschine und Verfahren zum Betreiben einer Maschine |
| DE102014017307B4 (de) * | 2014-11-21 | 2019-08-01 | Kuka Roboter Gmbh | Verfahren und System zum Bearbeiten eines Bauteils mit einem robotergeführten Werkzeug |
| DE102015004146B3 (de) * | 2015-03-27 | 2016-06-16 | Kuka Systems Gmbh | Oberflächenbearbeitung eines Bauteils mittels eines mobilen Roboters |
-
2017
- 2017-11-03 DE DE102017010244.9A patent/DE102017010244A1/de active Pending
-
2018
- 2018-10-26 US US16/761,059 patent/US11826912B2/en active Active
- 2018-10-26 WO PCT/EP2018/079380 patent/WO2019086339A1/de not_active Ceased
- 2018-10-26 EP EP18793415.3A patent/EP3703914A1/de active Pending
- 2018-10-26 CN CN201880071407.XA patent/CN111405966B/zh active Active
- 2018-10-26 KR KR1020207014079A patent/KR102725371B1/ko active Active
Non-Patent Citations (1)
| Title |
|---|
| SICILIANO BRUNO ET AL: "Robotics Modeling, planning and control", SPRINGER, 23 December 2009 (2009-12-23), Naples, Rome, pages 1 - 632, XP093260554 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US11826912B2 (en) | 2023-11-28 |
| US20210178582A1 (en) | 2021-06-17 |
| DE102017010244A1 (de) | 2019-05-09 |
| WO2019086339A1 (de) | 2019-05-09 |
| CN111405966B (zh) | 2024-02-23 |
| KR102725371B1 (ko) | 2024-11-01 |
| CN111405966A (zh) | 2020-07-10 |
| KR20200077533A (ko) | 2020-06-30 |
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