Learning Motion Parameterizations of Mobile Pick and Place Actions from Observing Humans in Virtual Environments
Gayane Kazhoyan,Alina Hawkin,Sebastian Koralewski,Andrei Haidu,Michael Beetz,Gayane Kazhoyan,Alina Hawkin,Sebastian Koralewski,Andrei Haidu,Michael Beetz
In this paper, we present an approach and an implemented pipeline for transferring data acquired from observing humans in virtual environments onto robots acting in the real world, and adapting the data accordingly to achieve successful task execution. We demonstrate our pipeline by inferring seven different symbolic and subsymbolic motion parameters of mobile pick and place actions, which allows ...
