Evolutionary robotics
MICRO-515 / 3 credits
Teacher: Floreano Dario
Language: English
Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.
Summary
The course describes theories, methods, and technologies for designing robots and artificial systems inspired by evolution, development, and learning. It also shows how robotic models can help to understand biological systems. The course ends with a discussion of future bio-hybrid robots.
Content
- Natural and Artificial Evolution
- Evolutionary Computation and Applications
- Evolution of Neural Systems
- Advanced Evolutionary Algorithms
- Evolutionary Robotics
- Developmental Systems
- Evolution of Collective Systems
- Edible robotics
- Bio-hybrid robots
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:
- Apply new tools for software and hardware engineering
- Translate acquired theoretical knowledge in practical implementations during laboratory sessions
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
Moodle Link
In the programs
- Semester: Spring
- Number of places: 60
- Exam form: Written (summer session)
- Subject examined: Evolutionary robotics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Number of places: 60
- Exam form: Written (summer session)
- Subject examined: Evolutionary robotics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Number of places: 60
- Exam form: Written (summer session)
- Subject examined: Evolutionary robotics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Semester: Spring
- Number of places: 60
- Exam form: Written (summer session)
- Subject examined: Evolutionary robotics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Number of places: 60
- Exam form: Written (summer session)
- Subject examined: Evolutionary robotics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks