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Titel:

Learning Hand Movement Interaction Control Using RNNs: From HHI to HRI

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Ögüz, Özgür S.; Pfirrmann, Ben M.; Guo, Mingpan; Wollherr, Dirk
Stichworte:
end effectors; human-robot interaction; learning by example; mobile robots; motion control; neurocontrollers; path planning; recurrent neural nets; transfer functions; hand movement interaction control; autonomous agent; control process; dyadic interaction; multicomponent robot motion; interaction behavior control skill; robotic agent; recurrent neural network-based framework; robot end effector; human movement behavior control; close-proximity human-robot interaction; human-human interaction; H...     »
Zeitschriftentitel:
IEEE Robotics and Automation Letters (RA-L)
Jahr:
2018
Band / Volume:
3
Monat:
Oct
Heft / Issue:
4
Seitenangaben Beitrag:
4100-4107
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/LRA.2018.2862923
Print-ISSN:
2377-3766
Semester:
WS 18-19
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