5 search results - page 1 / 1 » Evolved Motor Primitives and Sequences in a Hierarchical Rec... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
IJON
2007
13 years 4 months ago
2007
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
TSMC
2008
13 years 4 months ago
2008
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
Prediction of dynamic features is an important task for determining the manipulation strategies of an object. This paper presents a technique for predicting dynamics of objects re...