G Chrupała, A Kádár, A Alishahi - arXiv preprint arXiv:1506.03694, 2015 - arxiv.org
We propose Imaginet, a model of learning visually grounded representations of language from coupled textual and visual input. The model consists of two Gated Recurrent Unit …
The presence of robots in everyday life is increasing day by day at a growing pace. Industrial and working environments, health-care assistance in public or domestic areas can benefit …
Being able to quickly and naturally teach robots new knowledge is critical for many future open-world human-robot interaction scenarios. In this paper we present a novel approach to …
JL Part, O Lemon - 2017 Joint IEEE International Conference …, 2017 - ieeexplore.ieee.org
The ability of an object classifier to adapt to new data and incorporate new classes on the fly is of paramount importance for robots operating in the real world. This paper presents an …
Y Yu, A Eshghi, O Lemon - arXiv preprint arXiv:1709.10426, 2017 - arxiv.org
We present a multi-modal dialogue system for interactive learning of perceptually grounded word meanings from a human tutor. The system integrates an incremental, semantic …
We present a framework capable of tackilng the problem of continual object recognition in a setting which resembles that under which humans see and learn. This setting has a set of …
In order to perform complex tasks in realistic human environments, robots need to be able to learn new concepts in the wild, incrementally, and through their interactions with humans …
DM Ramík, C Sabourin, K Madani - Robotics and Autonomous Systems, 2013 - Elsevier
This paper describes an autonomous system for knowledge acquisition based on artificial curiosity. The proposed approach allows a humanoid robot to discover, in an indoor …