Issues in evolutionary robotics
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Explorations in evolutionary robotics
Adaptive Behavior
Seeing the light: artificial evolution, real vision
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Evolutionary neurocontrollers for autonomous mobile robots
Neural Networks - Special issue on neural control and robotics: biology and technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
An incremental approach is used to develop the control system of an autonomous robot to approach toward the target object by avoiding obstacles in an environment. The approach consists of two-stage evolution. In the first-stage, controllers are evolved to avoid obstacles in an environment. The final population of the first-stage evolution is then used as the initial population for the second-stage evolution. Controllers are evolved in the second-stage to approach toward the target object by avoiding obstacles in the environment. We compare the performance of the incremental approach with that of conventional approach, an onestage evolutionary approach. It is found that the performance of incremental approach is better than that of conventional approach.