Over the past few decades, researchers have developed increasingly advanced technologies that convert natural sources into electrical energy through the use of solar cells and wind turbines. Recently, the wind energy industry has been expanding rapidly, with a growing...
TECHXPLORE
A new framework for robotics applications that merges reservoir computing with origami
Reservoir computing is a highly promising computational framework based on artificial recurrent neural networks (RNNs). Over the past few years, this framework was successfully applied to a variety of tasks, ranging from time-series predictions (i.e., stock market or...
HuggieBot 2.0: A soft and human-size robot that hugs users on request
Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) and ETH Zürich have recently created HuggieBot 2.0, a robot that can hug users at their request. This robot, set to be presented at the ACM/IEEE International Conference on Human-Robot...
A machine learning framework that exploits memristor variability to implement Markov chain Monte Carlo sampling
Memristors, or resistive memory devices (RRAM) are nanometer-sized electronic components that can serve as memories for portable computers and other devices. When they are organized in a cross-bar structure, these tiny memories can be used to perform matrix...
Researchers review advancements in the development of stretchable transistors
Over the past few decades, researchers have been trying to develop electronic components that are increasingly flexible and skin-like, as these could enable the fabrication of new wearable and implantable devices. Transistors, semiconductors that can conduct and...
A new bio-inspired joint model to design robotic exoskeletons
Recent advances in the field of robotics have enabled the fabrication of increasingly sophisticated robotic limbs and exoskeletons. Robotic exoskeletons are essentially wearable 'shells' made of different robotic parts. Exoskeletons can improve the strength,...
Deep learning-based assessment of student engagement could aid classroom research
Past research has identified student engagement, or the extent to which students participate and are involved in classroom activities, as a crucial factor determining both the quality of education programs and the academic performance of individual students. As a...
Using AUVs to control the outbreak of crown-of-thorns starfish in Australia’s Great Barrier Reef
Over the past few decades, people around the world have been dealing with a vast variety of environmental threats. In Australia, these include risks associated with the deterioration and destruction of aquatic plants, animals and other organisms that inhabit...
A technique to estimate emotional valence and arousal by analyzing images of human faces
In recent years, countless computer scientists worldwide have been developing deep neural network-based models that can predict people's emotions based on their facial expressions. Most of the models developed so far, however, merely detect primary emotional states...
Tiny bio-inspired swarm robots for targeted medical interventions
Micro-sized robots could bring a new wave of innovation in the medical field by allowing doctors to access specific regions inside the human body without the need for highly invasive procedures. Among other things, these tiny robots could be used to carry drugs, genes...