An Evaluation of Action Segmentation Algorithms on Bimanual Manipulation Datasets
Andre Meixner,Franziska Krebs,Noémie Jaquier,Tamim Asfour,Andre Meixner,Franziska Krebs,Noémie Jaquier,Tamim Asfour
Humans naturally execute many everyday manipulation actions with both arms simultaneously. Similarly, endowing robots with bimanual manipulation task models is key to efficiently perform complex manipulation tasks. To do so, a promising approach is to learn a library of task models from human demonstrations. However, this requires human motions to be meaningfully segmented. In this paper, we propo...
