Robotics

A framework for indoor robot navigation among humans

In order to tackle the tasks that they are designed to complete, mobile robots should be able to navigate real world environments efficiently, avoiding humans or other obstacles in their surroundings. While static objects ...

Hi Tech & Innovation

Deep-learning system detects human presence by harvesting RF signals

Researchers at Syracuse University in New York have recently developed a system that can detect the presence of humans in a given environment by analyzing ambient radio frequency (RF) signals. This new system, presented in ...

Robotics

A new approach to enhance robot navigation in indoor environments

To effectively navigate their surroundings, robots typically plan paths based on pre-designed maps of the environment they are operating in and observations gathered by their sensors. While this type of navigation strategy ...

Machine learning & AI

Estimating people's age using convolutional neural networks

Over the past few years, researchers have created a growing number of machine learning (ML)-based face recognition techniques, which could have numerous interesting applications, for instance, enhancing surveillance monitoring, ...

Robotics

A bite acquisition framework for robot-assisted feeding systems

According to a survey released by the U.S. Census Bureau, around 12.3 million Americans require assistance with activities of daily living (ADLs) or instrumental activities of daily living (IADLs), one of which is feeding. ...

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