Intelligence without representation
Artificial Intelligence
Automatic programming of behavior-based robots using reinforcement learning
Artificial Intelligence
Robot shaping: developing autonomous agents through learning
Artificial Intelligence
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Interaction and Intelligent Behavior
Interaction and Intelligent Behavior
Reinforcement learning with selective perception and hidden state
Reinforcement learning with selective perception and hidden state
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Interference as a tool for designing and evaluating multi-robot controllers
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rapid, safe, and incremental learning of navigation strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hidden state and reinforcement learning with instance-based stateidentification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A history-based approach for adaptive robot behavior in dynamic environments
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Managing robot autonomy and interactivity using motives and visual communication
Proceedings of the third annual conference on Autonomous Agents
Continuous categories for a mobile robot
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
Neurofuzzy Learning of Mobile Robot Behaviours
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Behaviour activity based maps applied to mobile robot navigation
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
IEEE Transactions on Evolutionary Computation
On data representation in reactive systems based on activity trace concept
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Learning in behavior-based multi-robot systems: policies, models, and other agents
Cognitive Systems Research
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Learning in the mobile robot domain is a very challenging task, especially in non-stationary conditions. The behavior-based approach has proven to be useful in making mobile robots work in real-world situations. Since the behaviors are responsible for managing the interactions between the robots and its environment, observing their use can be exploited to model these interactions. In our approach, the robot is initially given a set of “behavior-producing” modules to choose from, and the algorithm provides a memory-based approach to dynamically adapt the selection of these behaviors according to the history of their use. The approach is validated using a vision- and sonar-based Pioneer I robot in non-stationary conditions, in the context of a multi-robot foraging task. Results show the effectiveness of the approach in taking advantage of any regularities experienced in the world, leading to fast and adaptable specialization for the learning robot.