Researchers at SUNY Binghamton, Cleveland State University and the University of Washington have recently developed a new dialogue system that could improve human-robot interactions. This system, presented in a paper pre-published on arXiv, is designed to learn...
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A face-following robot arm with emotion detection
Researchers at Universitat Autònoma de Barcelona (UAB) have recently developed a face-following robotic arm with emotion detection inspired by Pixar Animation Studios' Luxo Jr. lamp. This robot was presented by Vernon Stanley Albayeros Duarte, a computer science...
A ferroelectric ternary content-addressable memory to enhance deep learning models
Most deep-learning algorithms perform well when trained on large sets of labeled data, but their performance tends to decline when processing new data. Researchers worldwide have thus been trying to develop techniques that could improve the ability of these algorithms...
Evolving neural networks with a linear growth in their behavior complexity
Evolutionary algorithms (EAs) are designed to replicate the behavior and evolution of biological organisms while solving computing problems. In recent years, many researchers have developed EAs and used them to tackle a variety of optimization tasks.
Spintronic memory cells for neural networks
In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute convolution and fully-connected layer...
DeepEyedentification: identifying people based on micro eye movements
Past cognitive psychology research suggests that eye movements can differ substantially from one individual to another. Interestingly, these individual characteristics in eye movements have been found to be relatively stable over time and largely independent of what...
Enhancing the locomotion of small robots with microwheels
Microbots could have several useful applications, particularly within biomedical and healthcare settings. For instance, due to their small size, these small machines could be inserted within the human body, allowing doctors to remotely carry out exams or operate...
A new approach for modeling central pattern generators (CPGs) in reinforcement learning
Central pattern generators (CPGs) are biological neural circuits that can produce coordinated rhythmic outputs without requiring rhythmic inputs. CPGs are responsible for most rhythmic motions observed in living organisms, such as walking, breathing or swimming.
A deep learning technique to generate real-time lip sync for live 2-D animation
Live 2-D animation is a fairly new and powerful form of communication that allows human performers to control cartoon characters in real time while interacting and improvising with other actors or members of an audience. Recent examples include Stephen Colbert...
A new method to enable robust locomotion in a quadruped robot
One of the key challenges for robotics research is the development of effective and resilient control systems, which allow robots to navigate a variety of environments and deal with unexpected events. Researchers at the University of Oslo have recently developed an...