Applying deep reinforcement learning methods for tasks whose rewards are specified by a linear temporal logic formula; for the purpose of automatic test case generation
We investigated the persuasive effects of emotions on a social robot through an online HRI experiment that is a web based survey on COVID-19 awareness conducted by a Nao robot.
We study transfer learning, which aims to adapt previously gained knowledge to small scale problems. Transfer from very deep architectures may cause overfitting.
Modelling the full-body motion and predicting the movement of an articulated human by exploiting the underlying graph structure and using graph neural networks.