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ELEKTRO 7/2017 was released on June 26th 2017. Its digital version will be available on July 28th 2017.

Topic: Cables, conductors and cable technique; Connectors; Software; Marking and labelling

Main Article
Electrical insulation and thermal conductivity

SVĚTLO (Light) 4/2017 was released on August 8th 2017. Its digital version will be available on September 8th 2017.

Optical radiation effects and use
Glow-worm in a light engineer eyesight

Lighting installations
OSRAM TecDay Czech Republic 2017
Workroom illumination of Dominican provincial in Prague
innogy – reconstruction of company administrative centre

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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