While humans can execute motions naturally and instantaneously, robots require advanced motion planning strategies in order to navigate their surroundings. Motion planning is thus a key area of robotics research, aimed at developing tools and techniques that allow...
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, as well as an entity localization component.
A team of researchers at Nanjing University in China and the University of Toronto in Canada have recently fabricated all-perovskite tandem solar cells (PSCs), a type of solar cell with a key perovskite structured component. These new solar cells, presented in a paper...
Reinforcement learning (RL) has so far proved to be an effective technique for training artificial agents on individual tasks. However, when it comes to training multi-purpose robots, which should be able to complete a variety of tasks that require different skills,...
Virtual Reality (VR) is opening up exciting new frontiers in the development of video games, paving the way for increasingly realistic, interactive and immersive gaming experiences. VR consoles, in fact, allow gamers to feel like they are almost inside the game,...
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions from data. Their approach, presented in a...
Multi-legged robots are capable of navigating a variety of complex and unstructured terrains. Their many degrees of freedom allow them to adapt their walking posture to navigate several challenging environments, including confined spaces.
Researchers at King Saud University, in Saudi Arabia, have developed a new approach to detect cyberbullying on Twitter using deep learning called OCDD. In contrast with other deep-learning approaches, which extract features from tweets and feed them to a classifier,...
Over the past few years, a growing number of researchers and companies worldwide have been developing techniques for automated driving. Before self-driving vehicles can be introduced on real roads, however, their efficiency and safety will need to be ascertained.
Researchers at SUNY Binghamton, Cleveland State University and the University of Washington have recently developed a new dialogue system that could improve human-robot interactions. This system, presented in a paper pre-published on arXiv, is designed to learn...