Over the next few decades, robots could be introduced into human environments, including homes, offices and retail spaces. Among other things, robotic systems could be used to tidy up spaces and make them safer for humans.
TECHXPLORE
A molecular platform for heterogeneous OER electrocatalysis based on double-atom catalysts
The oxygen evolution reaction (OER) is a chemical reaction that enables the generation of oxygen gas. This reaction is crucial for producing fuels through water splitting or through the electroreduction of CO2.
NeatNet: A model that can learn people’s tidying up preferences
As robots become increasingly advanced and affordable, more people could start introducing them into their homes. Many roboticists have thus been trying to develop systems that can effectively assist humans with house chores, such as cooking, cleaning and tidying up.
A new model that automatically generates movie trailers
Trailers, short video clips that introduce new movies, are often crucial elements in the promotional strategies employed by film production companies. To be most effective, trailers should briefly summarize a movie's plot, conveying its artistic style and overall mood...
A deep learning method to automatically enhance dog animations
Researchers at Trinity College Dublin and University of Bath have recently developed a model based on deep neural networks that could help to improve the quality of animations containing quadruped animals, such as dogs. The framework they created was presented at the...
A Q-learning algorithm to generate shots for walking robots in soccer simulations
RoboCup, originally named the J-League, is an annual robotics and artificial intelligence (AI) competition organized by the International RoboCup Federation. During RoboCup, robots compete with other robots soccer tournaments.
A soft magnetic pixel robot that can be programmed to take different shapes
Magnetic soft robots are systems that can change shape or perform different actions when a magnetic field is applied to them. These robots have numerous advantageous characteristics, including a wireless drive, high flexibility and infinite endurance.
A deep learning technique for global field reconstruction with sparse sensors
Developing methods to accurately reconstruct spatial fields using data collected by sparse sensors has been a long-standing challenge in both physics and computer science. Ultimately, such methods could significantly aid the design, prediction, analysis and control of...
A strategy to fabricate organic solar cells with efficiencies over 17% using non-harmful solvents
Over the past few years, engineers have created increasingly advanced technologies to produce and store energy more sustainably. Solar cells made of organic molecules or polymers are among the most promising sustainable energy solutions, as they are typically thin,...
A neural network-based optimization technique inspired by the principle of annealing
Optimization problems involve the identification of the best possible solution among several possibilities. These problems can be encountered in real-world settings, as well as in most scientific research fields.