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Extract from the Register of European Patents

EP About this file: EP3955080

EP3955080 - METHOD AND DEVICE FOR SOCIALLY AWARE MODEL PREDICTIVE CONTROL OF A ROBOTIC DEVICE USING MACHINE LEARNING [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  15.12.2023
Database last updated on 05.10.2024
FormerGrant of patent is intended
Status updated on  01.10.2023
FormerExamination is in progress
Status updated on  21.10.2022
FormerRequest for examination was made
Status updated on  19.08.2022
FormerThe application has been published
Status updated on  14.01.2022
Most recent event   Tooltip08.08.2024Lapse of the patent in a contracting state
New state(s): SE
published on 11.09.2024  [2024/37]
Applicant(s)For all designated states
Robert Bosch GmbH
Postfach 30 02 20
70442 Stuttgart / DE
[2022/07]
Inventor(s)01 / Palmieri, Luigi
71229 Leonberg / DE
02 / Rudenko, Andrey
70499 Stuttgart / DE
03 / Arras, Kai Oliver
70180 Stuttgart / DE
 [2022/07]
Application number, filing date20190604.712.08.2020
[2022/07]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3955080
Date:16.02.2022
Language:EN
[2022/07]
Type: B1 Patent specification 
No.:EP3955080
Date:17.01.2024
Language:EN
[2024/03]
Search report(s)(Supplementary) European search report - dispatched on:EP01.03.2021
ClassificationIPC:G05D1/02, G06N3/08, G05B17/02, G05B13/04, G01C21/34, B25J9/16, G06N3/045
[2023/37]
CPC:
G05D1/0217 (EP); G05D1/0221 (CN,US); B25J9/1605 (US);
B25J9/1664 (EP,US); B25J9/1666 (US); G05B13/027 (US);
G05B13/048 (US); G05D1/0214 (US); G06N3/045 (EP);
G06N3/08 (EP); B25J9/163 (EP,US); B25J9/1676 (EP,US);
G01C21/3446 (EP) (-)
Former IPC [2022/07]G05D1/02, G01C21/34, G05B13/04, G05B17/02, G06N3/08
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 [2022/38]
Former [2022/07]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 VORRICHTUNG ZUR SOZIALBEWUSSTEN MODELLPRÄDIKTIVEN STEUERUNG EINER ROBOTERVORRICHTUNG UNTER VERWENDUNG VON MASCHINENLERNEN[2022/07]
English:METHOD AND DEVICE FOR SOCIALLY AWARE MODEL PREDICTIVE CONTROL OF A ROBOTIC DEVICE USING MACHINE LEARNING[2022/07]
French:PROCÉDÉ ET DISPOSITIF DE COMMANDE PRÉDICTIVE DE MODÈLE SOCIALEMENT CONSCIENT D'UN DISPOSITIF ROBOTIQUE À L'AIDE D'APPRENTISSAGE MACHINE[2022/07]
Examination procedure06.07.2022Amendment by applicant (claims and/or description)
16.08.2022Examination requested  [2022/38]
16.08.2022Date on which the examining division has become responsible
24.10.2022Despatch of a communication from the examining division (Time limit: M06)
04.05.2023Reply to a communication from the examining division
02.10.2023Communication of intention to grant the patent
08.12.2023Fee for grant paid
08.12.2023Fee for publishing/printing paid
08.12.2023Receipt of the translation of the claim(s)
Request for further processing for:The application is deemed to be withdrawn due to failure to reply to the examination report
04.05.2023Request for further processing filed
04.05.2023Full payment received (date of receipt of payment)
Request granted
15.05.2023Decision despatched
Fees paidRenewal fee
31.08.2022Renewal fee patent year 03
31.08.2023Renewal fee patent year 04
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Lapses during opposition  TooltipBG17.01.2024
ES17.01.2024
FI17.01.2024
HR17.01.2024
LT17.01.2024
LV17.01.2024
NL17.01.2024
PL17.01.2024
SE17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
PT17.05.2024
[2024/37]
Former [2024/36]BG17.01.2024
ES17.01.2024
FI17.01.2024
HR17.01.2024
LT17.01.2024
LV17.01.2024
NL17.01.2024
PL17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
PT17.05.2024
Former [2024/35]BG17.01.2024
ES17.01.2024
FI17.01.2024
HR17.01.2024
LT17.01.2024
NL17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/34]BG17.01.2024
FI17.01.2024
HR17.01.2024
LT17.01.2024
NL17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/33]LT17.01.2024
NL17.01.2024
NO17.04.2024
IS17.05.2024
Former [2024/32]NL17.01.2024
IS17.05.2024
Former [2024/31]NL17.01.2024
Documents cited:Search[E]EP3739418  (BOSCH GMBH ROBERT [DE]) [E] 1-11* Paragraphs [0002], [0011], [0013], [0064], [0067], [0072], [0076], [0086]. *;
 [XD]  - WILLIAMS GRADY ET AL, "Information theoretic MPC for model-based reinforcement learning", 2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE, (20170529), doi:10.1109/ICRA.2017.7989202, pages 1714 - 1721, XP033126944 [XD] 1-11 * Page 1714 Abstract, figure 1, page 1716 left column paragraph B, page 1717 left column first paragraph, last paragraph, right column, page 1718 left column algorithm 2, page 1719 right column paragraph B, page 1720 figures 5-7. *

DOI:   http://dx.doi.org/10.1109/ICRA.2017.7989202
Examination   - KUSUMOTO RAPHAEL ET AL, "Informed Information Theoretic Model Predictive Control", 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE, (20190520), doi:10.1109/ICRA.2019.8793945, pages 2047 - 2053, XP033593934

DOI:   http://dx.doi.org/10.1109/ICRA.2019.8793945
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