All RGB-D data (that is, all RGB or depth images offered for download on this homepage) can be freely used for scientific purposes only.
The annotations and all derived data offered for download on this homepage are licensed under a Creative Commons CC0 1.0 License (Public Domain Dedication).
If you use the Bimanual Categories Extension of the KIT Bimanual Actions Dataset, please consider citing our corresponding work.
@inproceedings{krebsleven2023, title = {Recognition of Bimanual Manipulation Categories in RGB-D Human Demonstration}, author = {Krebs, Franziska and Leven, Leonie and Asfour, Tamim}, booktitle = {IEEE-RAS 22th International Conference on Humanoid Robots (Humanoids)}, year = {2023}, organization = {IEEE} }
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}}, }
If you use the KIT Bimanual Actions Dataset, please consider citing our corresponding work.
@article{dreher2020learning, author = {Dreher, Christian R. G. and Wächter, Mirko and Asfour, Tamim}, title = {Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networks}, journal = {IEEE Robotics and Automation Letters (RA-L)}, year = {2020}, number = {1}, pages = {187--194}, volume = {5}, doi = {10.1109/LRA.2019.2949221}, }