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Current issue

ELEKTRO 2/2018 was released on February 14th 2018. Its digital version will be available on March 12th 2018.

Topic: Electrical devices; Devices for smart grids; Internet of Things

Main Article
Power flow control in grid using power converters

SVĚTLO (Light) 1/2018 was released on February 5th 2018. Its digital version will be available on March 5th 2018.

Architectural and scenic lighting
Mexican light
Lighting design in a nutshell – Part 34
Lighting technology documentation – part 2 Schemes for scenic lighting

Luminaires and luminous apparatuses
NITECO LED luminaires – guarantied lifespan and warm white light not only for public lighting

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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