Re­search Pro­file

In the EU project VEDLIoT, IoT de­vices are de­vel­oped based on Deep Learn­ing meth­ods to make them more pow­er­ful and en­ergy ef­fi­cient.

Funded by EU Hori­zon 2020, No.: 957197

In the COVR EU AWARD project CoSMo, meth­ods for ef­fi­cient proof of safety of col­lab­o­ra­tive human-​robot ap­pli­ca­tions are de­vel­oped.

Funded by EU-​Horizon 2020, No.: COVR 12341234.2

CogI­MON in­ves­ti­gates in­ter­ac­tions that re­quire ac­tive and adap­tive reg­u­la­tion of both human and robot mo­tion and be­hav­ior.

Funded by EU-​Horizon 2020, ICT No.: 644727.

In AI4DG, a de­cen­tral­ized AI plat­form is being de­vel­oped that en­ables se­cure and au­tonomous con­trol of dis­tri­b­u­tion grids with a high share of RE.

Funded by the BMBF, FKZ.: 01IS21101A

Con­struc­tion of a ver­i­fi­able elec­tronic as­sem­bly, from pro­duc­tion and com­mis­sion­ing to the end of the op­er­at­ing phase, ap­plic­a­ble in crit­i­cal in­fra­struc­tures.

Funded by the BMBF, FKZ.: 16ME0276

The com­pe­tence cen­ter bun­dles know-​how and ex­pe­ri­ence from sci­ence and in­dus­try in as­so­ci­a­tion with trade unions on the top­ics of AI and Work 4.0.

Funded by the BMBF, FKZ.: 02L19C104

The BMBF-​funded ITS.ML project is con­cerned with the use of ma­chine learn­ing meth­ods for in­tel­li­gent tech­ni­cal sys­tems of the next gen­er­a­tion.

Funded by the BMBF, FKZ.: 01IS18041A

Method de­vel­op­ment in the area of ex­plain­abil­ity and trans­parency of ML and re­search of cen­tral ques­tions for episodic, in­ter­ac­tive learn­ing.

Funded by the BMBF, FKZ.: 01IS19080A

The work­ing group con­tributes to the dig­i­tal in­no­va­tion plat­form and car­ries out trans­fer pi­lots with medium-​sized com­pa­nies as case stud­ies.

Funded by the MWIDE NRW, FKZ.: 005-​2011-0036

Re­al­iza­tion of a dig­i­tal ex­tended re­al­ity as­sis­tance sys­tem (XR), to im­prove the tech­ni­cal train­ing of ju­nior staff.

Funded by the MKW NRW, FKZ.: 005-​2011-0241

The aim of the project is to op­ti­mize the ef­fi­ciency of the har­vest. A sen­sor net­work will mon­i­tor ma­chine processes and in­ter­pret them using AI.

Funded by the MWIDE, FKZ.: 005-​2001-0028

The aim of the ML4Pro² project is to make the lat­est ma­chine learn­ing (ML) meth­ods sus­tain­ably avail­able for in­tel­li­gent prod­ucts and pro­duc­tion processes.

Funded by the MWIDE, FKZ.: 1807ow003a