To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and...
TECHXPLORE
Scientists create soft and scalable robotic hand based on multiple materials
Robots based on soft materials are often better at replicating the appearance, movements and abilities of both humans and animals. While there are now countless soft robots, many of these are difficult to produce on a large-scale, due to the high cost of their...
An energy-efficient object detection system for UAVs based on edge computing
Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards,...
An affordable and scalable strategy to fabricate efficient silicon heterojunction solar cells
Silicon heterojunction (SHJ), solar cells based on a heterojunction between semiconductors with different band gaps, are among the most promising photovoltaic technologies. So far, these cells have exhibited remarkable power conversion efficiencies and good...
A soft glove based on honeycomb pneumatic actuators for assistive care and rehabilitation
Many previously developed smart gloves were built using fabric-based pneumatic actuators (FPAs), which are essentially textiles that can produce specific motions. While some of these systems achieved promising results, they typically can only produce a few...
A decentralized, blockchain-based messaging network for safer communications
Data and security breaches are becoming increasingly common, highlighting the vulnerabilities of existing messaging and communications platforms. Devising computational tools and systems that better protect sensitive data against malicious attacks is therefore of...
IBM develops a new 64-core mixed-signal in-memory computing chip
For decades, electronics engineers have been trying to develop increasingly advanced devices that can perform complex computations faster and consuming less energy. This has become even more salient after the advent of artificial intelligence (AI) and deep learning...
Study highlights the vulnerabilities of metasurface-based wireless communication systems
Metasurfaces, artificially engineered surfaces that can manipulate electromagnetic signals in unique ways, have huge potential for several technological applications, including the implementation of sixth generation (6G) cellular communications. The limitations and...
Efficient single-winged aerial robots with reduced energy consumption
Flying robotic systems have already proved to be highly promising for tackling numerous real-world problems, including explorations of remote environments, the delivery of packages in inaccessible sites, and searches for survivors of natural disasters. In recent...
A deep learning technique to improve how robots grasp objects
Most adult humans are innately able to pick up objects in their environment and hold them in ways that facilitate their use. For instance, when picking up a cooking utensil, they would normally grab it from the side that will not be placed inside the cooking pot or pan.