• Recently, there has been a growing interest in making autonomous robots able to interact and communicate with people.. This demanding objective has opened new research fields concerning the social abilities robots should acquire. Some examples of this are assisting elderly people in homes or helping pedestrians in public spaces. Moreover, collaborative robots for those examples require safe physical interaction with humans. Nevertheless, in order to provide physical cooperation to humans, robots aim to be capable of predicting and anticipating their intents, behaviours and movements. Therefore, this workshop will focus on the prediction and anticipation of human actions in human robot interaction tasks, as this is key to coordinate joint activities, specifically the existing challenges and the frontiers found by researchers.

  Concretely, the main objectives of this workshop are two-fold. First, we will highlight recent developments in prediction and anticipation reasoning in HRI. We will compare state-of-the-art approaches and the current challenges researchers are working on. Moreover, we will introduce the frontiers authors have recently found during their investigations, encouraging discussions among participants to identify the current challenges and unsolved problems.

  Second, we will motivate our expert speakers to describe (1) which kind of tasks these social reasoning in HRI may solve and how they may assist and help people, and (2) how to open new avenues to build robots with greater capability to interact with people.

Main Organizer