Advances in the fields of robotics, autonomous driving and computer vision have increased the need for highly performing sensors that can reliably collect data in different environmental conditions. This includes imagers that can operate at near-infrared wavelengths...
TECHXPLORE
Allowing social robots to learn relations between users’ routines and their mood
Social robots, robots that can interact with humans and assist them in their daily lives, are gradually being introduced in numerous real-world settings. These robots could be particularly valuable for helping older adults to complete everyday tasks more autonomously,...
A crab-inspired artificial vision system for both terrestrial and aquatic environments
To efficiently navigate real-world environments, robots typically analyze images collected by imaging devices that are integrated within their body. To enhance the performance of robots, engineers have thus been trying to develop different types of highly performing...
Twin physically unclonable functions (PUFs) based on carbon nanotube arrays to enhance the security of communications
As the amount of data stored in devices and shared over the internet continuously increases, computer scientists worldwide are trying to devise new approaches to secure communications and protect sensitive information. Some of the most well-established and valuable...
DayDreamer: An algorithm to quickly teach robots new behaviors in the real world
Training robots to complete tasks in the real-world can be a very time-consuming process, which involves building a fast and efficient simulator, performing numerous trials on it, and then transferring the behaviors learned during these trials to the real world. In...
The molecular implementation of a DNA-based artificial neural network
Molecular computing is a promising area of study aimed at using biological molecules to create programmable devices. This idea was first introduced in the mid-1990s and has since been realized by several computer scientists and physicists worldwide.
Enhancing the safety of autonomous vehicles in critical scenarios
Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential...
The Omnid Mocobots: New mobile robots for safe and effective collaboration
Teams of mobile robots could be highly effective in helping humans to complete straining manual tasks, such as manufacturing processes or the transportation of heavy objects. In recent years, some of these robots have already been tested and introduced in real-world...
A system to retrieve images using sketches on smart devices
Researchers at the SketchX, University of Surrey have recently developed a meta learning-based model that allows users to retrieve images of specific items simply by sketching them on a tablet, smartphone, or on other smart devices. This framework was outlined in a...
Researchers use a new framework to estimate the potential for energy demand reduction in the UK
Reducing energy demand worldwide can play a critical role in meeting international climate targets and effectively tackling climate change. Ultimately, such efforts could relieve some of the pressure on governments to decarbonize the energy supply, as emissions would...