I am glad to announce that our paper "Let's Push Things Forward: A Survey on Robot Pushing" has been accepted for publication by Frontiers in Robotics & AI journal. Follow the link below for the paper abstract https://www.frontiersin.org/articles/10.3389/frobt.2020.00008/abstract #frontiers #robot #pushing #survey #deeplearning #analytical #datadriven #frontiers #pushing #robot #survey #deeplearning #analytical #datadriven

As robots make their way into our homes, the ability to predict how their actions affect the environment is a key skill that they need to possess to operate in safety and gain our trust. In this work, we review the robotic pushing literature. While focusing on work concerned with predicting the motion of pushed objects, we also cover relevant applications of pushing for planning and control. This paper is concerned with the evolution of forwards models (FMs) and their applica

The hype about sensorimotor learning is currently reaching high fever, thanks to the latest advancement in deep learning. In this paper, we present an open-source framework for collecting large-scale, time-synchronised synthetic data from highly disparate sensory modalities, such as audio, video, and proprioception, for learning robot manipulation tasks. We demonstrate the learning of non-linear sensorimotor mappings for a humanoid drumming robot that generates novel motion s