Who Just Said This, Robot? – A Trained Humanoid Robot Can Perform Human-Like Crossmodal Social Attention
Fu, D., Abawi, F., Carneiro, H., Kerzel, M., Chen, Z., Strahl, E., Liu, X., Wermter, S.
Crossmodal Learning Project
A5 Neurorobotic models for crossmodal joint attention and social interaction (in collaboration with Institute of Psychology, Chinese Academy of Sciences)
Paper:
1.Fu, D., Abawi, F., Carneiro, H., Kerzel, M., Chen, Z., Strahl, E., Liu, X., Wermter, S. (2022). A trained humanoid robot can perform human-like crossmodal social attention and conflict resolution. https://arxiv.org/abs/2111.01906
2.Abawi, F., Weber, T., & Wermter, S. (2021). GASP: Gated Attention for Saliency Prediction. In Proceedings of The Thirtieth International Joint Conference on Artificial Intelligence, 584-591. https://www2.informatik.uni-hamburg.d...
3.Fu, D., Weber, C., Yang, G., Kerzel, M., Nan, W., Barros, P., Wu, H., Liu, X., & Wermter, S. (2020). What can computational models learn from human selective attention? A review from an audiovisual unimodal and crossmodal perspective. Frontiers in Integrative Neuroscience. 14: 10. doi: 10.3389/fnint.2020.00010
4.Parisi, G. I., Barros, P., Fu, D., Magg, S., Wu, H., Liu, X., & Wermter, S. (2018, October). A neurorobotic experiment for crossmodal conflict resolution in complex environments. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2330-2335.
University of Hamburg
Department of Informatics
Knowledge Technology
www.knowledge-technology.info
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Video production: Franziska Schmidt (http://franzi-schmidt.de/)
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