Distributed Artificial Intelligence
Distributed Artificial Intelligence
Minimalist mobile robotics: a colony-style architecture for an artificial creature
Minimalist mobile robotics: a colony-style architecture for an artificial creature
Intelligence without representation
Artificial Intelligence
O-Plan: the open planning architecture
Artificial Intelligence
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A layered architecture for office delivery robots
AGENTS '97 Proceedings of the first international conference on Autonomous agents
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
An Integrated Approach of Learning, Planning, and Execution
Journal of Intelligent and Robotic Systems
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Using ABC2 in the RoboCup Domain
RoboCup-97: Robot Soccer World Cup I
From Practice to Theory in Designing Autonomous Agents
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
SINERGY: A Linear Planner Based on Genetic Programming
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Fast planning through planning graph analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A multi-agent architecture for intelligent gathering systems
AI Communications
Roboskeleton: An architecture for coordinating robot soccer agents
Engineering Applications of Artificial Intelligence
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This paper presents a model for the control of autonomous robots that allows cooperation among them. The control structure is based on a general purpose multi-agent architecture using a hybrid approach made up by two levels. One level is composed of reactive skills capable of achieving simple actions by their own. The other one uses an agenda used as an opportunistic planning mechanism to compound, activate and coordinate the basic skills. This agenda handles actions both from the internal goals of the robot or from other robots. This two level approach allows the integration of real-time response of reactive systems needed for robot low-level behavior, with a classical high level planning component that permits a goal oriented behavior. The paper describes the architecture itself, and its use in three different domains, including real robots, as well as the issues arising from its adaptation to the RoboCup simulator domain.