Over the past decade or so, many researchers worldwide have been trying to develop brain-inspired computer systems, also known as neuromorphic computing tools. The majority of these systems are currently used to run deep learning algorithms and other artificial...
Machine learning & AI
Researchers enhance human-robot interaction by merging mixed reality and robotics
Over the past decades, engineers have created devices with increasingly advanced functions and capabilities. A device capability that was substantially improved in recent years is known as "spatial computing."
A method to automatically generate radar-camera datasets for deep learning applications
In recent years, roboticists and computer scientists have been developing a wide range of systems that can detect objects in their environment and navigate it accordingly. Most of these systems are based on machine learning and deep learning algorithms trained on...
Study shows that individual neurons could learn by predicting future activity
Humans have been trying to understand how the brain works and how it acquires information for centuries. While neuroscientists now have a pretty good understanding of how different parts of the brain work and what their function is, many questions remain unanswered;...
Artificial emotional intelligence could change senior users’ perceptions of social robots
Socially assistive robots (SARS) are a class of robotic systems specifically designed to help vulnerable or older users to complete everyday activities. In addition to increasing their independence, these robots could stimulate users mentally and offer basic emotional...
A reachability-expressive motion planning algorithm to enhance human-robot collaboration
A team of researchers at University of California, Los Angeles (UCLA)'s Center for Vision, Cognition, Learning, and Autonomy (VCLA), led by Prof. Song-Chun Zhu, recently developed an approach that could help to align a human user's assessment of what a robot can do...
A locally reactive controller to enhance visual teach and repeat systems
To operate autonomously in a various unfamiliar settings and successfully complete missions, mobile robots should be able to adapt to changes in their surroundings. Visual teach and repeat (VT&R) systems are a promising class of approaches for training robots to...
A four-megabit nvCIM macro for edge AI devices
Edge AI devices, systems that combine artificial intelligence (AI) and edge computing techniques, are becoming an essential part of the rapidly growing Internet of Things (IoT) ecosystem. These devices include smart speakers, smart phones, robots, self-driven cars,...
A model that can create realistic animations of talking faces
In recent years, computer-generated animations of animals and humans have become increasingly detailed and realistic. Nonetheless, producing convincing animations of a character's face as it's talking remains a key challenge, as it typically entails the successful...
A concurrent transmission strategy to enhance multi-robot cooperation
Researchers at the Indian Institute of Technology Bhubaneswar, in collaboration with TCS Research and Wageningen University, recently devised a new strategy that could improve coordination among different robots tackling complex missions as a team. This strategy,...