blank Quick help
blank Maintenance news

Scheduled maintenance

Regular maintenance outages:
between 05.00 and 05.15 hrs CET (Monday to Sunday).

Other outages
Availability
Register Forum

2022.02.11

More...
blank News flashes

News flashes

New version of the European Patent Register - SPC information for Unitary Patents.

2024-03-06

More...
blank Related links

Release notes
European Patent Register Assistant
European Patent Register Resource Book
European Patent Register – pocket guide
FAQ - European Patent Register
FAQ - Register Alert
Federated Register (Flyer)
Global Dossier (Flyer)
Register events
Deep link coverage
Federated Register content
The Patent Information Tour
Fair use charter

Extract from the Register of European Patents

EP About this file: EP3915712

EP3915712 - METHOD OF OPTIMIZING WELDING PARAMETERS FOR WELDING CONTROL, METHOD OF PROVIDING A TRAINED ALGORITHM FOR MACHINE LEARNING, WELDING CONTROL, COMPUTER PROGRAM AND COMPUTER-READABLE DATA MEDIUM [Right-click to bookmark this link]
Former [2021/48]METHOD OF OPTIMIZING WELDING PARAMETERS FOR WELDING CONTROL, METHOD FOR PROVIDING A TRAINED ALGORITHM FOR MACHINE LEARNING AND WELDING CONTROL
[2022/46]
StatusNo opposition filed within time limit
Status updated on  01.12.2023
Database last updated on 19.07.2024
FormerThe patent has been granted
Status updated on  23.12.2022
FormerGrant of patent is intended
Status updated on  08.11.2022
FormerRequest for examination was made
Status updated on  03.06.2022
FormerThe application has been published
Status updated on  29.10.2021
Most recent event   Tooltip31.05.2024Lapse of the patent in a contracting state
New state(s): IT		published on 03.07.2024  [2024/27]
Applicant(s)For all designated states
Robert Bosch GmbH
Postfach 30 02 20
70442 Stuttgart / DE
[2021/48]
Inventor(s)01 / Dieterle, Martin
71636 Ludwigsburg / DE
02 / Shakirov, Damir
75223 Niefern-Oeschelbronn / DE
03 / Haeufgloeckner, Juergen
63936 Schneeberg / DE
04 / Bleier, Fabian
70180 Stuttgart / DE
05 / Pychynski, Tim
76137 Karlsruhe / DE
06 / Steimer, Andreas
75328 Schoemberg / DE
07 / Slavnic, Sinisa
28357 Bremen / DE
08 / Zhou, Baifan
71229 Leonberg / DE
09 / Mcconnell, Sean
69434 Hirschhorn Am Neckar / DE
 [2021/48]
Application number, filing date21155363.105.02.2021
[2021/48]
Priority number, dateDE20201020452208.04.2020         Original published format: DE102020204522
[2021/48]
Filing languageDE
Procedural languageDE
PublicationType: A1 Application with search report 
No.:EP3915712
Date:01.12.2021
Language:DE
[2021/48]
Type: B1 Patent specification 
No.:EP3915712
Date:25.01.2023
Language:DE
[2023/04]
Search report(s)(Supplementary) European search report - dispatched on:EP29.10.2021
ClassificationIPC:B23K11/11, B23K11/25, B23K31/00, B23K31/12, G05B19/418, G06K9/62, G06N3/08, G06N5/02
[2021/48]
CPC:
B23K11/11 (EP,US); B23K11/36 (CN); B23K11/25 (EP);
B23K31/006 (EP); B23K31/125 (EP); G05B13/0265 (EP);
G06N20/00 (EP) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/27]
Former [2021/48]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:VERFAHREN ZUM OPTIMIEREN VON SCHWEISSPARAMETERN FÜR EINE SCHWEISSSTEUERUNG, VERFAHREN ZUM BEREITSTELLEN EINES TRAINIERTEN ALGORITHMUS MASCHINELLEN LERNENS, SCHWEISSSTEUERUNG, COMPUTERPROGRAMM UND COMPUTERLESBARER DATENTRÄGER[2022/46]
English:METHOD OF OPTIMIZING WELDING PARAMETERS FOR WELDING CONTROL, METHOD OF PROVIDING A TRAINED ALGORITHM FOR MACHINE LEARNING, WELDING CONTROL, COMPUTER PROGRAM AND COMPUTER-READABLE DATA MEDIUM[2022/46]
French:PROCÉDÉ D'OPTIMISATION DES PARAMÈTRES DE SOUDAGE POUR UNE COMMANDE DE SOUDAGE, PROCÉDÉ D'UTILISATION D'UN APPRENTISSAGE MACHINE ALGORITHME ENTRAÎNÉ, CONTRÔLEUR DE SOUDAGE, PROGRAMME D'ORDINATEUR, ET SUPPORT DE DONNÉES LISIBLE PAR ORDINATEUR[2022/46]
Former [2021/48]VERFAHREN ZUM OPTIMIEREN VON SCHWEISSPARAMETERN FÜR EINE SCHWEISSSTEUERUNG, VERFAHREN ZUM BEREITSTELLEN EINES TRAINIERTEN ALGORITHMUS MASCHINELLEN LERNENS UND SCHWEISSSTEUERUNG
Former [2021/48]METHOD OF OPTIMIZING WELDING PARAMETERS FOR WELDING CONTROL, METHOD FOR PROVIDING A TRAINED ALGORITHM FOR MACHINE LEARNING AND WELDING CONTROL
Former [2021/48]PROCÉDÉ D'OPTIMISATION DES PARAMÈTRES DE SOUDAGE POUR UNE COMMANDE DE SOUDAGE, PROCÉDÉ D'UTILISATION D'UN APPRENTISSAGE MACHINE ALGORITHME ENTRAÎNÉ ET CONTRÔLEUR DE SOUDAGE
Examination procedure18.01.2022Amendment by applicant (claims and/or description)
01.06.2022Examination requested  [2022/27]
01.06.2022Date on which the examining division has become responsible
09.11.2022Communication of intention to grant the patent
19.12.2022Fee for grant paid
19.12.2022Fee for publishing/printing paid
19.12.2022Receipt of the translation of the claim(s)
Opposition(s)26.10.2023No opposition filed within time limit [2024/01]
Opt-out from the exclusive  Tooltip
competence of the Unified
Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipCZ25.01.2023
DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
IT25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RO25.01.2023
RS25.01.2023
SE25.01.2023
SI25.01.2023
SK25.01.2023
SM25.01.2023
IE05.02.2023
LU05.02.2023
BE28.02.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
[2024/27]
Former [2024/11]CZ25.01.2023
DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RO25.01.2023
RS25.01.2023
SE25.01.2023
SI25.01.2023
SK25.01.2023
SM25.01.2023
IE05.02.2023
LU05.02.2023
BE28.02.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2024/08]CZ25.01.2023
DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RO25.01.2023
RS25.01.2023
SE25.01.2023
SK25.01.2023
SM25.01.2023
IE05.02.2023
LU05.02.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/50]CZ25.01.2023
DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RO25.01.2023
RS25.01.2023
SE25.01.2023
SK25.01.2023
SM25.01.2023
LU05.02.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/49]CZ25.01.2023
DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RO25.01.2023
RS25.01.2023
SE25.01.2023
SM25.01.2023
LU05.02.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/48]DK25.01.2023
EE25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
MC25.01.2023
NL25.01.2023
PL25.01.2023
RS25.01.2023
SE25.01.2023
SM25.01.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/46]DK25.01.2023
ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
NL25.01.2023
PL25.01.2023
RS25.01.2023
SE25.01.2023
SM25.01.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/39]ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
NL25.01.2023
PL25.01.2023
RS25.01.2023
SE25.01.2023
NO25.04.2023
GR26.04.2023
IS25.05.2023
PT25.05.2023
Former [2023/38]ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
NL25.01.2023
PL25.01.2023
RS25.01.2023
SE25.01.2023
NO25.04.2023
GR26.04.2023
PT25.05.2023
Former [2023/37]ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
NL25.01.2023
RS25.01.2023
SE25.01.2023
NO25.04.2023
GR26.04.2023
PT25.05.2023
Former [2023/36]ES25.01.2023
FI25.01.2023
HR25.01.2023
LT25.01.2023
LV25.01.2023
NL25.01.2023
RS25.01.2023
SE25.01.2023
NO25.04.2023
PT25.05.2023
Former [2023/35]ES25.01.2023
HR25.01.2023
LT25.01.2023
NL25.01.2023
RS25.01.2023
NO25.04.2023
PT25.05.2023
Former [2023/34]ES25.01.2023
LT25.01.2023
NL25.01.2023
RS25.01.2023
PT25.05.2023
Former [2023/33]ES25.01.2023
LT25.01.2023
NL25.01.2023
Former [2023/31]NL25.01.2023
Documents cited:Search[Y]US5764859  (KIM SANG HEE [KR], et al) [Y] 6-8 * column 14, line 45 - column 15, line 45; figure - *;
 [A]DE202011000875U  (KUKA SYSTEMS GMBH [DE]) [A] 1-11 * paragraph [0041]; figure - *;
 [A]US2013193123  (SAINT-MARTIN JEAN-CHRISTOPHE [FR], et al) [A] 1-11* paragraphs [0186] - [0193]; figure - *;
 [Y]US2018322623  (MEMO ALVISE [IT], et al) [Y] 1-5,9-11 * paragraphs [0153] - [0154]; figure - *;
 [Y]CN109886298  (UNIV JIANGSU) [Y] 1-11 * the whole document *;
 [A]US2020096970  (MEHR EDWARD [US], et al) [A] 6-8 * paragraphs [0141] - [0163]; figure - *
ExaminationKR20190070049
by applicantDE10334478
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.