Clustering Social Touch Gestures for Human-Robot Interaction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8715-3_6
Reference28 articles.
1. Abou Chahine, R., Kwon, D., Lim, C., Park, G., Seifi, H.: Vibrotactile similarity perception in crowdsourced and lab studies. In: Seifi, H., et al. (eds.) Haptics: Science, Technology, Applications, EuroHaptics 2022. LNCS, vol. 13235, pp. 255–263. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06249-0_29
2. Ammi, M., et al.: Haptic human-robot affective interaction in a handshaking social protocol. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 263–270 (2015)
3. Burns, R.B., Lee, H., Seifi, H., Faulkner, R., Kuchenbecker, K.J.: Endowing a NAO robot with practical social-touch perception. Front. Roboti. AI 86 (2022)
4. Burns, R.B., Seifi, H., Lee, H., Kuchenbecker, K.J.: Getting in touch with children with autism: specialist guidelines for a touch-perceiving robot. Paladyn J. Behav. Robot. 12(1), 115–135 (2021)
5. Choi, H., et al.: Deep learning classification of touch gestures using distributed normal and shear force. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3659–3665 (2022)
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