The Flowers project-team, at Inria and Ensta ParisTech, studies mechanisms that can allow robots and humans to acquire autonomously and cumulatively repertoires of novel skills over extended periods of time.
This includes mechanisms for learning by self-exploration, as well as learning through interaction with peers, for the acquisition of both sensorimotor and social skills. Sensorimotor skills include locomotion, affordance learning, active manipulation. Interactive skills include grounded language use and understanding, adaptive interaction protocols, and human-robot collaboration.
Our approach is organized along two strands of research:
Link to information about the Poppy humanoid robot : Poppy Project web site. Poppy is an open-source 3D printed robotic platform designed by the Flowers team. Poppy Humanoid robot was initially built to study the impact of the body on sensorimotor development and cognition: it makes it possible to really consider the body as an experimental variable. See article at Humanoids 2013 conference. It then evolved into an open platform for interdisciplinary invention, building and programming of robots, used in science, art and education.
PY Oudeyer, J. Gottlieb and M. Lopes have co-organized the First Interdisciplinary Symposium on Information Seeking, Curiosity and Attention, at Inria, Bordeaux, France. Check out the videos and slides of the talk and ask questions to presenters on Flowers’ open-science portal
Our work on calibration-free interaction applied to Brain-Computer Interaction has been published in PlosOne. Title: Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials. Authors: I. Iturrate, J.
Jonathan Grizou defended his thesis entitled Learning From Unlabeled Interaction Frames on October 24, 2014. The video, slides, and thesis manuscript can be found at this link: http://jgrizou.com/projects/thesis_defense/ Keywords: Learning from
The video of the PhD defense of Olivier Mangin is finally out ! The full dissertation can be found here (olivier.mangin.com/publi). Olivier’s work focused on learning recurring patterns in multimodal perception. For that purpose he developed
We have a new paper accepted to the 2014 Conference on Uncertainty in Artificial Intelligence (UAI) to be held in July 2014 in Quebec, Canada. It is a joint work with Iñaki Iturrate (EPFL) and Luis Montesano (Univ. Zaragoza). [webpage] [pdf] [bib]
We have a new paper accepted to the 2014 AAAI Conference on Artificial Intelligence to be held in July 2014 in Quebec, Canada. We present a method allowing a user to instruct a new task to an agent by mentally assessing the agent’s actions and