The MODELBot Challenge: MOdelling DEvelopment and Learning with robots and computers
The field of developmental robotics forms a bridge between two research communities: those who study learning and development in humans and animals, and those who study comparable processes in artificial systems. MODELbot–MOdelling DEvelopment and Learning with robots and computers–Challenge papers are expected to help strengthen this bridge, by establishing a strong link between developmental studies on the one hand and robotic and /or computational modeling on the other hand. We invite both models inspired by / studying human and animal development and learning.
To reflect the interdisciplinary focus of ICDL-Epirob, we are also this year welcoming submissions demonstrating the use of robotic and computational techniques for supporting human learning (e.g. studies in child-robot interaction). Submissions will be judged by the following criteria:
- How well is the computational model (e.g. an artificial system, which can be a robot or a software agent) grounded in recent studies of human or animal development and/or learning?
- The extent of the novel insights or explanations generated by the model or interaction studies, and importantly whether the model makes interesting and testable predictions.
- How well presented and analyzed are the robotic/computational model and experimental findings, and how well written is the paper.
We encourage the authors to tag their submission for “MODELbot Challenge” award during contributed paper submission, which would indicate that there is significant content that puts the paper in the spotlight of “MODELBot Challenge”.
We link to a few previous submissions to the competition below, for inspiration. However, notice that the scope this year has been extended, and therefore a wider range of papers are welcome for submission.