Abstract
Although robot-to-human touch experiments have been performed, they have all used direct tele-operation with a remote controller, pre-programmed hand motions, or tracked the human with wearable trackers. This report introduces a project that aims to visually track and touch a person's face with a humanoid android using a single RGB-D camera for 3D pose estimation. There are three major components: 3D pose estimation, a touch sensor for the android's hand, and a controller that combines the pose and sensor information to direct the android's actions. The pose estimation is working and released under as open-source. A touch sensor glove has been built and we have begun work on creating an under-skin version. Finally, we have tested android face-touch control. These tests showed many hurdles that will need to be overcome, but also how convincing the experience already is for the potential of this technology to elicit strong emotional responses.
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CITATION STYLE
Fox-Tierney, A. E., Sakai, K., Shiomi, M., Minato, T., & Ishiguro, H. (2023). Sawarimoto: A Vision and Touch Sensor-based Method for Automatic or Tele-operated Android-to-human Face Touch. In ACM/IEEE International Conference on Human-Robot Interaction (pp. 481–485). IEEE Computer Society. https://doi.org/10.1145/3568294.3580131
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