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Note: The News Channel lists all of the news articles published since October 2016 – for older articles please refer to the EPFL News Archive.

Drones learn to navigate autonomously by imitating cars and bicycles

Developed by UZH researchers, the algorithm DroNet allows drones to fly completely by themselves through the streets of a city and in indoor environments. Therefore, the algorithm had to learn traffic rules and adapt training examples from cyclists and car drivers. All today’s commercial drones use GPS, which works fine above building roofs and in …

Feedback enhances brainwave control of a novel hand-exoskeleton

EPFL scientists are developing a lightweight and portable hand exoskeleton that can be controlled with brainwaves. The device enhances performance of brain-machine interfaces and can restore functional grasps for the physically impaired. An extremely lightweight and portable hand exoskeleton may one day help the physically impaired with daily living. These are the hopes of EPFL …