Incremental learning of control strategies with genetic algorithms
Proceedings of the sixth international workshop on Machine learning
Machine learning: a theoretical approach
Machine learning: a theoretical approach
Technical Note: \cal Q-Learning
Machine Learning
Learning in embedded systems
Evolving hardware with genetic learning: a first step towards building a Darwin machine
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
Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Robot shaping: developing autonomous agents through learning
Artificial Intelligence
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
Robot Learning
Classifier Systems and the Animat Problem
Machine Learning
Proceedings of the First European Workshop on Evolutionary Robotics
An Evolutionary Robot Navigation System Using a Gate-Level Evolvable Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Evolving mobile robots in simulated and real environments
Artificial Life
An evolvable hardware chip and its application as a multi-function prosthetic hand controller
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An Evolvable Hardware Chip for Prosthetic Hand Controller
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Wireless Robotics: Opportunities and Challenges
Wireless Personal Communications: An International Journal
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Recently there has been a great interest in the design and study of evolvable and autonomous systems in order to control the behavior of physically embedded systems such as a mobile robot. This paper studies an evolutionary navigation system for a mobile robot using an evolvable hardware (EHW) approach. This approach is unique in that it combines learning and evolution, which was usually realized by software, with hardware. It can be regarded as an attempt to make hardware "softer". The task of the mobile robot is to reach a goal represented by a colored ball while avoiding obstacles during its motion. We show that our approach can evolve a set of rules to perform the task successfully. We also show that the evolvable hardware system learned off-line is robust and able to perform the desired behaviors in a more complex environment which is not seen in the learning stage.