German

 

On this page you will find, in addition to our robot models Pepper and NAO, a historical overview of robotics, additional information on important names and research projects on social robots, as well as brief descriptions of other models, a definition of humanoid robots and an explanation of human-robot interaction.

Pepper-Model

Robot Pepper

The humanoid robot system "Pepper", built by SoftBank Robotics, has been part of our team since September 2016.

Pepper is 1.20m tall and can perform complex movements with his upper body. His lower body is on wheels, so that Pepper can move as well.

Several languages are available - for our purposes Pepper can understand and speak both English and German.

Pepper's main purpose and primary competence is the interaction with humans. In addition to the natural language ability to communicate in several languages, another outstanding feature  is the ability to recognize people's emotions and to imitate human emotions.


Pepper's entire nature and behavior are designed and aligned to be "liked" by humans. This is why the manufacturer describes him as "friendly, loveable and surprising".

This makes Pepper an ideal companion for humans.

 

 

 

Pepper's abilities

Here's an analysis of the robot's "Pepper" capabilities and conclusions for a proper range of roles.

Pepper's Skills Brochure
heart_peppers_fähigkeiten_broschuere_gro[...]
PDF-Dokument [190.5 KB]

NAO-Model

Robot NAO

After Pepper already moved to the University of Marburg in September 2016, NAO followed in March 2017. NAO is SoftBank Robotics’ first humanoid robot (first version: 2006) and is partially made up of the same components as Pepper.

 

However, with 58 centimeters in size, NAO is much smaller than Pepper. Its body is also more mobile. If NAO falls over, getting up again is no problem. Since 2007, NAO has also been participating in the RoboCup (Robot Soccer World Cup).

 

Like Pepper, NAO can understand and speak both English and German. Together they are used in the university environment as a part of H.E.A.R.T.

Druckversion Druckversion | Sitemap
© Linguistic Engineering Team der Philipps-Universität Marburg