Prediction and Anticipation for Reasoning in Human-Robot Interaction

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 these 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 should be capable of predicting and anticipating the humans’ intents, behaviours and motion. Therefore, this Special Issue will focus on the prediction and anticipation of human actions in Human-Robot Interaction tasks, as this is key to coordinate joint activities. Relevant topics: ● Robotic proactivity ● Robot behaviors that anticipate or take into account human actions ● Robot collaboration ● Intention understanding in HRI ● Action recognition in HRI ● Theory of Mind ● Social signaling understanding ● Social perception and context awareness ● User studies on prediction and anticipation of human behaviour for collaborative robotic tasks ● Domain-specific applications of Human-Robot Collaborations with anticipation


  • Anaís Garrell

    Anaís Garrell is Senior Postdoc at Institut de Robòtica i Informàtica Industial (CSIC-UPC) and Adjunct Professor at Universitat Politècnica de Catalunya (UPC) in the field of social robotics. She graduated in Mathematics in 2006 at Universitat de Barcelona (UB), and obtained her PhD in 2013 (UPC). She also obtained a master's degree in 2018 on Technological Big Data by La Salle-URL. In 2011, Dr. Garrell moved to Carnegie Mellon University, USA, to work and specialize in Human Robot Interaction. As a postdoc she collaborated in National and European projects in the field of social robot Navigation.

  • Gerard Canal

    Gerard Canal is a Royal Academy of Engineering (RAEng) UK IC Postdoctoral Research Fellow in King's Department of Informatics. In March 2020, he completed his PhD in Robotics at the Institut de Robòtica i Informàtica Industrial. His research interests are in the areas of assistive robotics, robot behavior adaptation, task planning applied to robotics and the explainability of robotic behaviors.

  • Raquel Ros

    Raquel Ros is Senior Scientist at PAL Robotics and Lecturer at La Salle-Ramon Llull University in the field of HRI. She graduated in Computer Science in 2003, and obtained her PhD in 2008. Dr. Ros was then granted a Marie-Curie fellowship at LAAS-CNRS until 2010 investigating Theory of Mind and Robotics. She then joined Imperial College as post-doc to work on social robots in educational environments. In 2014 she moved to industry working at Cambridge Consultants as user-center designer. In 2018 Dr. Ros joined La Salle-URL to grow the research and teaching areas of robotics.


Articles will be displayed here once they are published.