Using emergent modularity to develop control systems for mobile robots
Adaptive Behavior - Special issue on environment structure and behavior
Understanding intelligence
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Dynamical Neural Schmitt Trigger for Robot Control
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Neural Networks - 2005 Special issue: IJCNN 2005
Synchronization of Internal Neural Rhythms in Multi-Robotic Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Reflex-oscillations in evolved single leg neurocontrollers for walking machines
Natural Computing: an international journal
SO(2)-networks as neural oscillators
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
(Co)evolution of (de)centralized neural control for a gravitationally driven machine
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
AI in the 21st century - with historical reflections
50 years of artificial intelligence
Hi-index | 0.00 |
This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment. By using structural evolution, minimal recurrent neural networks of general type were evolved for behavior control. The small size of the neural structures facilitates thorough investigations of behavior relevant neural dynamics and how they relate to interactions of robots within the sensorimotor loop. We argue that a clarification of dynamical neural control mechanisms in a reasonable depth allows quantitative statements about the effects of the sensorimotor loop and suggests general qualitative implications about the embodiment of autonomous robots and biological systems as well.