@misc{cogprints4064, volume = {117}, editor = {Luc Berthouze and Hideki Kozima and Christopher G. Prince and Giulio Sandini and Georgi Stojanov and Giorgio Metta and Christian Balkenius}, title = {Simulating development in a real robot: on the concurrent increase of sensory, motor, and neural complexity}, author = {Gabriel Gomez and Max Lungarella and Peter Eggenberger Hotz and Kojiro Matsushita and Rolf Pfeifer}, publisher = {Lund University Cognitive Studies}, year = {2004}, pages = {119--122}, keywords = {visual foveation, robotic hand, developmental progression, neural networks}, url = {http://cogprints.org/4064/}, abstract = {We present a quantitative investigation on the effects of a discrete developmental progression on the acquisition of a foveation behavior by a robotic hand-arm-eyes system. Development is simulated by (a) increasing the resolution of visual and tactile systems, (b) freezing and freeing mechanical degrees of freedom, and (c) adding neuronal units to the neural control architecture. Our experimental results show that a system starting with a low-resolution sensory system, a low precision motor system, and a low complexity neural structure, learns faster that a system which is more complex at the beginning.} }