Coursebooks

Evolutionary robotics

MICRO-515

Lecturer(s) :

Language:

English

Remark

pas donné en 2020-21

Summary

NOT OFFERED IN 2020-2021 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 Prerequisites

Important concepts to start the course

Programming skills (Phython, Java, C++)

Learning Outcomes

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

Teaching methods

Lectures, software exercises, and exercises and project involving 3D printing, assembly, programming, and characterization of modular robot with neural controller.

Expected student activities

Attending lectures, asking critical questions, taking all exercises and completing assignments for the following week, forming groups and performing collaboratively project woth physical robots, writing and presenting project results

Assessment methods

Mini-project report/presentation + written exam

Supervision

Office hours No
Assistants Yes
Forum Yes

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