[Amdnl] Tutorial at IEEE-ICDL in Cergy, France: The Evolutionary Robotics Toolbox for Developmental Robotics

Stéphane Doncieux stephane.doncieux at upmc.fr
Tue Sep 13 03:04:55 EDT 2016


Tutorial

The Evolutionary Robotics Toolbox for Developmental Robotics

Monday 19th September, afternoon session (14:00-17:00)

     IEEE-ICDL Cergy, France (http://www.icdl-epirob.org/)


                                         More details here: 
http://pages.isir.upmc.fr/~bredeche/evorobots_tutorial/


*Abstract:*
Evolutionary robotics (ER) started in the nineties with the objective of 
using evolution-inspired algorithms to design robots: since natural 
evolution shaped all the lifeforms we know, could artificial evolution 
shape better robots? After 25 years, this general question led to many 
general insights about search and adaptation. For instance, it is now 
well established in ER that searching for novel behaviors can be more 
effective than optimizing an objective (Lehman and Stanley, 2011), that 
encouraging exploration in the behavior space is more effective than 
encouraging it in the genotypic space (Mouret and Doncieux, 2012), or 
that behaviors discovered in simulation are unlikely to work on real 
robots (Jakobi, 1997).

In spite of the different starting points of Developmental Robotics and 
ER, many recent ideas introduced in the two fields are surprisingly 
similar. For example, open-ended evolution (e.g. Novelty Search) 
parallels intrinsic motivation in developmental robotics (Oudeyer and 
Kaplan, 2007), the behavior space in ER is similar to the goal space in 
Developmental Robotics (Rolf et al. 2010), and the relationships between 
simulation and reality is linked to self-modeling (Bongard et al., 2006).

Inspired by these parallels, the main goal of this tutorial is to 
introduce recent ideas from ER that can be interesting for Developmental 
Robotics. Over the course of this half-day, the instructors will discuss 
the divergences and the convergences between the two fields, as well as 
the common challenges.

*Organizers*
Stéphane Doncieux, ISIR, UPMC, France. stephane.doncieux at isir.upmc.fr
Nicolas Bredeche, ISIR, UPMC, France, nicolas.bredeche at isir.upmc.fr
Jean-Baptiste Mouret, INRIA Nancy, France, jean-baptiste.mouret at inria.fr

*Table of contents*
- Introduction
- Evolutionary algorithms (EA) for learning & babbling (single individual)
- Interactions between simulation and reality
- pause
- Selective pressures
- Convergent vs divergent search
- Evolutionary Algorithms for group dynamics
- Conclusion & questions




-- 
Stephane Doncieux
Professeur/Professor
ISIR - UPMC/CNRS
Pyramide Tour 55 Boite courrier 173
4 place Jussieu 75252 Paris cedex 05
France
Tel: +33 1 44 27 87 45
Web: http://people.isir.upmc.fr/doncieux

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