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Current issue

ELEKTRO 7/2018 was released on June 27th 2018. Its digital version will be available on July 27th 2018.

Topic: Cables, conductors and cable engineering; Tools, equipment and accessories for work with cables

Main Article
Parametrization of circuit models of Li-accumulators for electromobility
Smart Cities (part 3 – volume 1)

SVĚTLO (Light) 4/2018 was released on July 30th 2018. Its digital version will be available on August 31th 2018.

Refreshing our memory
Eccentric luminaires of René Roubíček from the years1965 till 1977
Bases of photometry – 1st part
Great personage of Czech science of times after Battle at Bílá hora: doctor, naturalist, philosopher and physicist Jan Marek Marci from Kronland

Optical radiation effects and use
The light and circadian rhythms

Researchers Teaching Robots to Feel and React to Pain

25.05.2016 | IEEE Spectrum | spectrum.ieee.org

One of the most useful things about robots is that they don’t feel pain. Because of this, we have no problem putting them to work in dangerous environments or having them perform tasks that range between slightly unpleasant and definitely fatal to a human. And yet, a pair of German researchers believes that, in some cases, feeling pain might be a good capability for robots to have.

The researchers, from Leibniz University of Hannover, are developing an “artificial robot nervous system to teach robots how to feel pain” and quickly react in order to avoid potential damage to their motors, gears, and electronics.

Robots feeling pain

Why is it a good idea for robots to feel pain? The same reason why it’s a good idea for humans to feel pain, said Johannes Kuehn, one of the researchers. “Pain is a system that protects us,” he said. “When we evade from the source of pain, it helps us not get hurt.” Humans that don’t have the ability to feel pain get injured far more often, because their bodies don’t instinctively react to things that hurt them.

Kuehn, who worked on the project with Professor Sami Haddadin, one of the world’s foremost experts in physical human-robot interaction and safety, argues that by protecting robots from damage, their system will be protecting humans as well.

Read more at IEEE Spectrum

Image Credit: Leibniz University of Hannover

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