Most robotic systems developed to date can either tackle a specific task with high precision or complete a range of simpler tasks with low precision. For instance, some industrial robots can complete specific manufacturing tasks very well but cannot easily adapt to...
TECHXPLORE
Lightweight neural network enables realistic rendering of woven fabrics in real-time
Recent advances in the field of artificial intelligence (AI) and computing have enabled the development of new tools for creating highly realistic media, virtual reality (VR) environments and video games. Many of these tools are now widely used by graphics designers,...
Micro-sized optical spectrometer operates across visible spectrum with sub-5-nm resolution
Optical spectrometers are versatile instruments that can produce light and measure its properties over specific portions of the electromagnetic spectrum. These instruments can have various possible applications; for instance, aiding the diagnosis of medical...
New framework allows robots to learn via online human demonstration videos
To be successfully deployed in real-world settings, robots should be capable of reliably completing various everyday tasks, ranging from household chores to industrial processes. Some of the tasks they could complete entail manipulating fabrics, for instance when...
A new method to fabricate stretchable and breathable electronics
In recent years, engineers and material scientists have introduced increasingly flexible electronics that could be used to create new wearable devices, such as smart watches, biosensors and health-monitoring technologies. To be safely worn by humans for prolonged...
A strategy to enhance the stability of perovskite solar cells under reverse bias conditions
If an individual solar cell is shaded and other cells in the same module are not, the sunlit cells can try to drive current through the shaded cell, resulting in an increase in temperature and potential damage to the cells. These conditions put the shadowed cell under...
New system enables intuitive teleoperation of a robotic manipulator in real-time
Imitation learning is a promising method to teach robots how to reliably complete everyday tasks, such as washing dishes or cooking. Despite their potential, imitation learning frameworks rely on detailed human demonstrations, which should include data that can help...
Flexible, permeable and 3D integrated electronic skin combines liquid metal circuits with fibrous substrates
In recent years, research teams worldwide have been trying to develop new flexible and soft electronics. These devices could have various potential applications, for instance helping doctors to monitor their patients' health conditions or supporting rehabilitation and...
New framework enables animal-like agile movements in four-legged robots
Four-legged animals are innately capable of agile and adaptable movements, which allow them to move on a wide range of terrains. Over the past decades, roboticists worldwide have been trying to effectively reproduce these movements in quadrupedal (i.e., four-legged)...
A new approach to boost the efficiency of non-fused ring electron acceptor solar cells
The power-conversion efficiencies (PCEs) of organic solar cells based on compounds known as polymer donors and fused ring electron acceptors (FREAs) have recently exceeded 19%. In contrast, organic solar cells based on non-fused ring electron acceptors (NFREAs), more...