Incremental Learning for Enhanced Personalization of Autocomplete Teleoperation
Mohammad Haj Hussein,Batool Ibrahim,Imad H. Elhajj,Daniel Asmar,Mohammad Haj Hussein,Batool Ibrahim,Imad H. Elhajj,Daniel Asmar
Remote controlling robots without any automated help is difficult due to various limitations. Autocomplete mitigates this difficulty by automatically detecting and completing the intended motions on robots from the input of the user. Such an approach can improve the system performance and reduce the load on the operator. Usually, recognizing intended motions is achieved using pre-trained Deep Lear...
