IEEE Robotics & Automation Society Italian Chapter (I-RAS)

Rapid and accurate identification of mosquitoes that transmit human pathogens such as malaria is an essential part of mosquito-borne disease surveillance. Now, researchers have shown the effectiveness of an artificial intelligence system -- known as a Convoluted Neural Network -- to classify mosquito sex, genus, species and strain.

Scientists have trained machine learning software to classify supernovae without the traditional use of spectra. The project -- the first to use real supernovae data to inform its artificial intelligence -- is 82% accurate. Currently, scientists take spectra of 10-percent of the ~10,000 supernovae discovered each year. When the Rubin Observatory goes online, only 0.1-percent of the expected supernovae discoveries will be further studied without the new software.

Getting computers to 'think' like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. Now, researchers have used a computational model of brain activity to simulate this process more accurately than ever before. The new model mimics how the brain's prefrontal cortex uses a phenomenon known as 'gating' to control the flow of information between different areas of neurons.

A model based solely on the past 40 years of weather events uses 7,000 times less computer power than today's weather forecasting tools. An A.I.-powered model could someday provide more accurate forecasts for rain, snow and other weather events.

Scientists often look to nature for cues when designing robots - some robots mimic human hands while others simulate the actions of octopus arms or inchworms. Now, researchers have designed a new soft robotic gripper that draws inspiration from an unusual source: pole beans.

Researchers are embracing chaos and nonlinear physics to create insectlike gaits for tiny robots -- complete with a locomotion controller to provide a brain-machine interface. Biology and physics are permeated by universal phenomena fundamentally grounded in nonlinear physics, and it inspired the researchers' work. The group now describes using a system of three nonlinear differential equations as a building block for central pattern generators to control the gait of a robotic insect.

A research team has developed a new range of strain sensors that are 10 times more sensitive when measuring minute movements. These sensors are ultra-thin, battery-free and can transmit data wirelessly, making them attractive for a wide range of applications.

Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think. In a new article, researchers say a prominent dataset used to try to answer this question is confounded, and therefore many eye-popping findings that were based on this dataset and received high-profile recognition are false after all.

Gait training using robotic exoskeletons improved motor function in adolescents and young adults with acquired brain injury.

Combining neuroscience and robotic research has gained impressive results in the rehabilitation of paraplegic patients. A research team was able to show that exoskeleton training not only helped patients to walk, but also stimulated their healing process. With these findings in mind, a professor wants to take the fusion of robotics and neuroscience to the next level.

New research has shown robots can encourage humans to take greater risks in a simulated gambling scenario than they would if there was nothing to influence their behaviors. Increasing our understanding of whether robots can affect risk-taking could have clear ethical, practical and policy implications, which this study set out to explore.

The automation of scientific discoveries is here to stay. Among others, a machine-human cooperation found a hitherto unknown general model explaining the relation between the area and age of an island and the number of species it hosts.

Researchers have built an ultralow-power consumption artificial visual system to mimic the human brain, which successfully performed data-intensive cognitive tasks. Their experiment results could provide a promising device system for the next generation of artificial intelligence (AI) applications.

A new technology, called Artificial Chemist 2.0, allows users to go from requesting a custom quantum dot to completing the relevant R&D and beginning manufacturing in less than an hour. The tech is completely autonomous, and uses artificial intelligence and automated robotic systems to perform multi-step chemical synthesis and analysis.

Robotic animals could be the 'pawfect' replacement for our real-life furry friends, a new study has found.

To develop a more human-like robotic gripper, it is necessary to provide sensing capabilities to the fingers. However, conventional sensors compromise the mechanical properties of soft robots. Now, scientists have designed a 3D printable soft robotic finger containing a built-in sensor with adjustable stiffness. Their work represents a big step toward safer and more dexterous robotic handling, which will extend the applications of robots to fields such as health and elderly care.

Researchers are making key advances with a new type of optical sensor that more closely mimics the human eye's ability to perceive changes in its visual field.

According to a new study, making eye contact with a robot may have the same effect on people as eye contact with another person. The results predict that interaction between humans and humanoid robots will be surprisingly smooth.

Researchers have developed a Bayesian learning model of chemisorption, or Bayeschem for short, aiming to use artificial intelligence to unlock the nature of chemical bonding at catalyst surfaces.

Deep learning neural networks can be massive, demanding major computing power. In a test of the 'lottery ticket hypothesis,' researchers have found leaner, more efficient subnetworks hidden within BERT models. The discovery could make natural language processing more accessible.