The efficient and large-scale conversion of carbon dioxide into fuels or other valuable substances could help to address the current energy crisis and mitigate the effects of global warming. One of the most effective approaches for converting CO2 into other...
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A soft jig that could enhance the performance of general-purpose assembly robots
As robots become increasingly advanced, they are being trained to complete a wide variety of tasks. Some roboticists have been specifically exploring the potential of robotic systems that can assembly items without much human supervision, as this could significantly...
SEIHAI: The hierarchical AI that won the NeurIPS-2020 MineRL competition
In recent years, computational tools based on reinforcement learning have achieved remarkable results in numerous tasks, including image classification and robotic object manipulation. Meanwhile, computer scientists have also been training reinforcement learning...
Real2sim2real: A self-supervised learning technique applied to planar robot casting
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.
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.