M. An, K. Kagawa, and T. Taura (Japan)
Imitation Learning, Robotics, Generic Algorithm, GeneticProgramming
This paper presents a method using Genetic Algorithm
(GA) and Genetic Programming (GP) to presume mimetic
object's behavioral criterion which can be regarded as
intention of an action. The latest research results obtained
from our simulation have proved a theory that if a robot
presumes a behavior criterion of a mimetic object
correctly, it will learn the object's behavior efficiently.
Therefore, it can be judged whether a robot got a mimetic
object's behavioral criterion by evaluating the robot's
learning efficiency. For this purpose of the investigation,
two robots are created in our simulation to performance a
reaching behavior and a learning behavior. The simulation
results based on these methods also will be presented.