Coursebooks 2017-2018

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Evolutionary robotics

MICRO-515

Lecturer(s) :

Floreano Dario

Language:

English

Summary

The course describes theories, methods, and technologies for designing software and hardware systems that are inspired upon natural evolution. It also shows how artificial systems can help to understand biological systems.

Content

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Students will put the theory in practice by evolving the morphology and neural control of mobile robots in physics-based simulations and will also be able to 3D print and assemble the best evolved robots.

Assessment methods

Mini-project report/presentation + written exam

Resources

Bibliography

Floreano, D. & Mattiussi, C. (2008) Bioinspired Artificial Intelligence. MIT Press (selected chapters)

Ressources en bibliothèque

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German