Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

17

GECCO
2004
Springer

favoriteEmaildiscussreport

115views Optimization» more GECCO 2004»

Robotic Control Using Hierarchical Genetic Programming

13 years 10 months ago

Robotic Control Using Hierarchical Genetic Programming

Download www.pilat.org

In this paper, we compare the performance of hierarchical GP methods (Automatically Deﬁned Functions, Module Acquisition, Adaptive Representation through Learning) with the canonical GP Implementation and with a linear genome GP system in the domain of evolving robotic controllers for a simulated Khepera miniature robot. We successfully evolve robotic controllers to accomplish obstacle avoidance, wall following, and light avoidance tasks.

Marcin L. Pilat, Franz Oppacher

Real-time Traffic

Canonical Gp Implementation | GECCO 2004 | Hierarchical Gp Methods | Robotic Controllers |

claim paper

Related Content

» Genetic evolution of hierarchical behavior structures

» Evolving cooperative robotic behaviour using distributed genetic programming

» Evolution of Robot Controller Using Cartesian Genetic Programming

» Evolving Hierarchical and Recursive Teleoreactive Programs through Genetic Programming

» Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear...

» SINERGY A Linear Planner Based on Genetic Programming

» Evolving a VisionBased LineFollowing Robot Controller

» Evolving controllers for simulated car racing using object oriented genetic programming

» Automatic Design of VisionBased Obstacle Avoidance Controllers Using Genetic Programming

Post Info
More Details (n/a)

Added	01 Jul 2010
Updated	01 Jul 2010
Type	Conference
Year	2004
Where	GECCO
Authors	Marcin L. Pilat, Franz Oppacher

Comments (0)