With its humanoid Nao robots DKE participates in the Dutch Nao Robot Soccer Team. See the webpage of the DKE Robotlab for more details.
At RAI we are especially interested in distributed self-organizing and autonomous systems capable of learning. For this our research focuses on learning of and the design and control of biologically-inspired, modular, swarm, and wearable robots, machine learning, neurorobotics as well as on human-robot and brain-robot interfaces. See for instance the webpage of the DKE SwarmLab robotics and machine learning laboratory for more details.
In RAI, we study the evolution of behaviors in social networks with a particular focus on agents' dynamics. On the one hand, theoretical models help us to get a better understanding of the simultaneous evolution of network topology and behaviors, and on the other hand the data mining techniques and in-field experiments allow for validation of our results with real-world data.
Using visual (RGB cameras + Depth cameras), along with wearable sensors, key research area in RAI is estimating user activities applied in the fields of Ambient Assistive Living or/and Entertainment.
In RAI, we conduct research on facial analysis, applied in human-Computer Interaction environments. User expressivity, through AI, is mapped to necessary content adaptations, on the fly, for personalizing the interaction and maximizing user engagement.
With its humanoid Nao robots DKE participates in the Dutch Nao Robot Soccer Team. See the webpage of the DKE Robotlab for more details.
