All Outputs (3)

How can I help you? Comparing engagement classification strategies for a robot bartender (2013)
Presentation / Conference
Foster, M. E., Gaschler, A., & Giuliani, M. (2013, December). How can I help you? Comparing engagement classification strategies for a robot bartender. Paper presented at 15th International Conference on Multimodal Interfaces (ICMI 2013), Sydney, Australia

A robot agent existing in the physical world must be able to understand the social states of the human users it interacts with in order to respond appropriately. We compared two implemented methods for estimating the engagement state of customers for... Read More about How can I help you? Comparing engagement classification strategies for a robot bartender.

Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data (2013)
Journal Article
Chen, G., Zhang, F., Giuliani, M., Buckl, C., & Knoll, A. (2013). Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data. Lecture Notes in Artificial Intelligence, 8239 LNAI, 341-350. https://doi.org/10.1007/978-3-319-02675-6_34

Being able to recognize human activities is essential for several applications, including social robotics. The recently developed commodity depth sensors open up newpossibilities of dealingwith this problem. Existing techniques extract hand-tuned fea... Read More about Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data.

Using Embodied Multimodal Fusion to Perform Supportive and Instructive Robot Roles in Human-Robot Interaction (2013)
Journal Article
Giuliani, M., & Knoll, A. (2013). Using Embodied Multimodal Fusion to Perform Supportive and Instructive Robot Roles in Human-Robot Interaction. International Journal of Social Robotics, 5(3), 345-356. https://doi.org/10.1007/s12369-013-0194-y

We present a robot that is working with humans on a common construction task. In this kind of interaction, it is important that the robot can perform different roles in order to realise an efficient collaboration. For this, we introduce embodied mult... Read More about Using Embodied Multimodal Fusion to Perform Supportive and Instructive Robot Roles in Human-Robot Interaction.