Over the past few decades, roboticists have created increasingly advanced and sophisticated robotics systems. While some of these systems are highly efficient and achieved remarkable results, they still perform far poorly than humans on several tasks, including those...
Machine learning & AI
A model to predict how much humans and robots can be trusted with completing specific tasks
Researchers at University of Michigan have recently developed a bi-directional model that can predict how much both humans and robotic agents can be trusted in situations that involve human-robot collaboration. This model, presented in a paper published in IEEE...
LyricJam: A system that can generate lyrics for live instrumental music
Over the past few decades, computer scientists have developed computational tools that can generate specific types of data, such as images, words or audio recordings. These systems could have a variety of valuable applications, particularly in creative fields that...
Researchers create an artificial tactile skin that mimics human tactile recognition processes
Over the past few decades, roboticists and computer scientists have developed artificial systems that replicate biological functions and human abilities in increasingly realistic ways. This includes artificial intelligence systems, as well as sensors that can capture...
Features of virtual agents affect how humans mimic their facial expressions
In recent years, computer scientists have developed a broad variety of virtual agents, artificial agents designed to interact with humans or assist them with various tasks. Some past findings suggest that the extent to which human users trust these agents often...
A bio-inspired technique to mitigate catastrophic forgetting in binarized neural networks
Deep neural networks have achieved highly promising results on several tasks, including image and text classification. Nonetheless, many of these computational methods are prone to what is known as catastrophic forgetting, which essentially means that when they are...
A system to benchmark the posture control and balance of humanoid robots
In recent years, roboticists have developed a wide variety of robots with human-like capabilities. This includes robots with bodies that structurally resemble those of humans, also known as humanoid robots.
Text2App: A framework that creates Android apps from text descriptions
Researchers at Bangladesh University of Engineering and Technology (BUET) and University of California- Los Angeles (UCLA) recently developed a framework that can create Android applications from text descriptions. This new app was presented in a paper pre-published...
A recurrent neural network that infers the global temporal structure based on local examples
Most computer systems are designed to store and manipulate information, such as documents, images, audio files and other data. While conventional computers are programmed to perform specific operations on structured data, emerging neuro-inspired systems can learn to...
The MIT humanoid robot: A dynamic robotic that can perform acrobatic behaviors
Creating robots that can perform acrobatic movements such as flips or spinning jumps can be highly challenging. Typically, in fact, these robots require sophisticated hardware designs, motion planners and control algorithms.