INteractive robots that intuitiVely lEarn to inVErt tasks ReaSoning about their Execution

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Primary Data

Project Acronym Projekt Kurzbezeichnung
INVERSE
 
Project Title (de) Projekttitel (de)
INteractive robots that intuitiVely lEarn to inVErt tasks ReaSoning about their Execution
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
European Commission
Grant number Förderkennnummer
GAP-101136067
 

Publications

Results 1-4 of 4 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Yan, Yashuai ; Li, Chengxi ; Lee, Dongheui Personalized Motion Retargeting through Bidirectional Human-Robot ImitationInproceedings Konferenzbeitrag 21-Oct-2025
2Varga, Zoltan ; Mascaro, Esteve Valls ; Sliwowski, Daniel Jan ; Lee, Dongheui Multimodal Transformer Models for Human Action ClassificationInproceedings Konferenzbeitrag 16-Jul-2025
3Yan, Yashuai ; Mascaro, Esteve Valls ; Egle, Tobias ; Lee, Dongheui I-CTRL: Imitation to Control Humanoid Robots Through Bounded Residual Reinforcement LearningArticle Artikel Mar-2025
4Sliwowski, Daniel ; Jadav, Shail Vasantkumar ; Stanovcic, Sergej ; Orbik, Jedrzej Beniamin ; Heidersberger, Johannes Sebastian ; Lee, Dongheui Demonstrating REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and DisassemblyInproceedings Konferenzbeitrag2025