If you use the Temporal Task Model Extension of the KIT Bimanual Actions Dataset, please consider citing our corresponding work.
@inproceedings{Dreher2022, author = {Christian R. G. Dreher and Tamim Asfour}, title = {Learning Temporal Task Models from Human Bimanual Demonstrations}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, pages = {7664-7671}, year = {2022}, doi = {10.1109/IROS47612.2022.9981068}}, }
Ground truth for bimanual manipulation tasks for researching temporal task models.
File | Updated | Size | SHA256 hash |
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"Make muesli"-task (Action+Object ground truth, bimanual) | 03 Mar 2022 | 30.2 KiB | 179c99da7b416e2c0780b07fb8620d707dbd3c351dccd2177bc78418a25fd62c |
"Disassemble motor"-task (Action+Object ground truth (bimanual, synthetic) | 03 Mar 2022 | 70.6 KiB | bd8306ceca43b79c364190d0585f7618e213d6195188212fdd5eb2cedf73a377 |
"Clean table"-task (Action+Object ground truth (synthetic) | 03 Mar 2022 | 3.3 KiB | caed96b9a913c0c91cfd28137d442a496eb23b22427e12101eefc2960ba0405d |
"Clean table"-task (Action+Object ground truth (evaluation set, synthetic) | 03 Mar 2022 | 3.5 KiB | 32f40596ca1f5271a5535cd26d52b693887621abe4f976b5cf86acafd5fb9740 |