Computer Sciences

DeepCrack: a new hierarchical CNN-based method for crack segmentation

Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...

Robotics

Using deep learning to give robotic fingertips a sense of touch

Researchers at the University of Bristol have recently trained a deep-neural-network-based model to gather tactile information about 3-D objects. In their paper, published in IEEE Robotics & Automation Magazine, they applied ...

Engineering

New glove-like device mimics sense of touch

What if you could touch a loved one during a video call—particularly in today's social distancing era of COVID-19—or pick up and handle a virtual tool in a video game?

Robotics

New haptic arm places robotics within easy reach

Imagine being able to build and use a robotic device without the need for expensive, specialist kit or skills. That is the vision that researchers from the University of Bristol have turned into reality, creating a lightweight, ...

Engineering

'Epidermal VR' gives technology a human touch

Imagine holding hands with a loved one on the other side of the world. Or feeling a pat on the back from a teammate in the online game "Fortnite."

Robotics

A deep learning-based method for vision-based tactile sensing

To effectively interact with their surrounding environment, robots should be able to identify characteristics of different objects just by touching them, like humans do. This would allow them to get hold of and manage objects ...

Robotics

A bio-inspired flow-sensing cupula for submersible robotics

Nature can be a precious source of inspiration for researchers developing robots and artificial intelligence (AI) systems. Studies in submersible robotics, for instance, have often tried to replicate or incorporate mechanisms ...

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