As robots make their way into a variety of environments and start interacting with humans on a regular basis, they should be able to communicate with users as effectively as possible. Over the past decade or so, researchers worldwide have thus been developing machine...
Machine learning & AI
OmniTact: A compact and high-resolution tactile sensor for robotics applications
In recent years, researchers worldwide have been trying to develop sensors that could replicate humans' sense of touch in robots and enhance their manipulation skills. While some of these sensors achieved remarkable results, most existing solutions have small...
A human-like planner that allows robots to reach for objects in cluttered environments
While research in the field of robotics has led to significant advances over the past few years, there are still substantial differences in how humans and robots handle objects. In fact, even the most sophisticated robots developed so far struggle to match the object...
Comparing Western and Chinese classical music using deep learning algorithms
Deep learning techniques are proving to be extremely useful for analyzing all kinds of data, ranging from images to text, online posts and audio recordings. These techniques are designed to identify patterns in large datasets, separate items in different categories...
Measuring Chatbot Performance
Assessing chatbot performance isn’t always as straightforward as evaluating other technological tools, as it often entails trying to understand how a user perceives the agent.
Deep-learning system detects human presence by harvesting RF signals
Researchers at Syracuse University in New York have recently developed a system that can detect the presence of humans in a given environment by analyzing ambient radio frequency (RF) signals. This new system, presented in a paper pre-published on arXiv, employs a...
Modboat: A low-cost aquatic robot with a single motor
Researchers at the University of Pennsylvania's GRASP Laboratory have recently designed Modboat, a robotic boat that could be used to monitor oceans or carry out marine operations. This low-cost aquatic robot, presented in a paper pre-published on arXiv, can swim in...
Study unveils security vulnerabilities in EEG-based brain-computer interfaces
Brain-computer interfaces (BCIs) are tools that can connect the human brain with an electronic device, typically using electroencephalography (EEG). In recent years, advances in machine learning (ML) have enabled the development of more advanced BCI spellers, devices...
Survey Hints at the Importance of Chatbots’ Expertise for Gaining Users’ Trust
Several companies and institutions worldwide have recently started using chatbots to provide information or guidance to customers and others using their services. Although these customer service applications are becoming increasingly popular, only a few studies have...
Multi-Chatbot Systems Could Enable Smoother Machine-Human Dialogues
Researchers at the Lincoln Centre for Autonomous Systems (L-CAS) and Samsung Research have recently developed an ensemble-based deep reinforcement learning (DRL) technique that could enhance interactions between chatbots and humans. Their paper, published in...