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

2022.02.11

More...
blank News flashes

News Flashes

New version of the European Patent Register – SPC proceedings information in the Unitary Patent Register.

2024-07-24

More...
blank Related links

Extract from the Register of European Patents

EP About this file: EP4102311

EP4102311 - METHOD AND SYSTEM FOR ADAPTIVE LEARNING OF MODELS IN MANUFACTURING SYSTEMS [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  22.12.2023
Database last updated on 28.09.2024
FormerGrant of patent is intended
Status updated on  27.07.2023
FormerRequest for examination was made
Status updated on  02.12.2022
FormerThe application has been published
Status updated on  11.11.2022
Most recent event   Tooltip08.08.2024Lapse of the patent in a contracting state
New state(s): PL
published on 11.09.2024  [2024/37]
Applicant(s)For all designated states
Tata Consultancy Services Limited
Nirmal Building 9th Floor Nariman Point Mumbai 400 021
Maharashtra / IN
[2022/50]
Inventor(s)01 / SINGH, Kuldeep
411028 Pune, Maharashtra / IN
02 / NISTALA, Sri Harsha
411028 Pune, Maharashtra / IN
03 / RUNKANA, Venkataramana
411028 Pune, Maharashtra / IN
 [2022/50]
Representative(s)Goddar, Heinz J., et al
Boehmert & Boehmert
Anwaltspartnerschaft mbB
Pettenkoferstrasse 22
80336 München / DE
[2022/50]
Application number, filing date22173146.613.05.2022
[2022/50]
Priority number, dateIN20212102606311.06.2021         Original published format: IN202121026063
[2022/50]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP4102311
Date:14.12.2022
Language:EN
[2022/50]
Type: B1 Patent specification 
No.:EP4102311
Date:24.01.2024
Language:EN
[2024/04]
Search report(s)(Supplementary) European search report - dispatched on:EP14.11.2022
ClassificationIPC:G05B13/02, G05B17/02
[2022/50]
CPC:
G05B13/0265 (EP); G06N20/00 (US); G05B17/02 (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 [2023/01]  
Former [2022/50]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 UND SYSTEM ZUM ADAPTIVEN LERNEN VON MODELLEN IN FERTIGUNGSSYSTEMEN[2022/50]
English:METHOD AND SYSTEM FOR ADAPTIVE LEARNING OF MODELS IN MANUFACTURING SYSTEMS[2022/50]
French:PROCÉDÉ ET SYSTÈME D'APPRENTISSAGE ADAPTATIF DE MODÈLES DANS DES SYSTÈMES DE FABRICATION[2022/50]
Examination procedure25.11.2022Examination requested  [2023/01]
25.11.2022Date on which the examining division has become responsible
28.07.2023Communication of intention to grant the patent
07.12.2023Fee for grant paid
07.12.2023Fee for publishing/printing paid
07.12.2023Receipt of the translation of the claim(s)
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  TooltipES24.01.2024
HR24.01.2024
PL24.01.2024
NO24.04.2024
RS24.04.2024
GR25.04.2024
IS24.05.2024
[2024/37]
Former [2024/35]ES24.01.2024
HR24.01.2024
NO24.04.2024
RS24.04.2024
GR25.04.2024
IS24.05.2024
Former [2024/33]NO24.04.2024
IS24.05.2024
Former [2024/32]IS24.05.2024
Documents cited:Search[A]WO2020234899  (TATA CONSULTANCY SERVICES [IN]) [A] 1-15* paragraph [0042] - paragraph [0049] *;
 [A]  - ARRIOLA-RIOS VERONICA E. ET AL, "Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review", FRONTIERS IN ROBOTICS AND AI, (20200917), vol. 7, doi:10.3389/frobt.2020.00082, XP055960625 [A] 1-15 * page 16, column left, paragraph third - page 17, column left, paragraph second; figure 10 *

DOI:   http://dx.doi.org/10.3389/frobt.2020.00082
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.